What can Xeoma do
for your business?

The Motion Detector monitors selected zones indoors and outdoors. The Xeoma Pro version filters out false alarms from lighting, shadows and animals — reacting only to people or vehicles. Combine with the Scheduler to limit alerts to off-hours, or use the Day/Night Detector as a simpler light-based alternative.

The Cross-Line Detector triggers when someone crosses a virtual line and can distinguish the direction of crossing — ideal for detecting entry into restricted zones and counting visitors moving in each direction.

Face Recognition matches detected faces against a database of known employees and authorized visitors, alerting only on unknown faces. Staff and regulars never trigger false alarms. All recordings are searchable by photo.

License Plate Recognition (ANPR) checks arriving vehicles against pass and block lists and can open or close a barrier automatically. All plates entering and leaving the territory are logged with timestamps.

The Loitering Detector alerts when a person remains idle in camera view beyond a set time threshold — an early-warning signal for shoplifting, reconnaissance or unauthorized presence near sensitive areas.

When visibility is limited by darkness, smoke or fog, the Thermal Camera Data module detects intruders by body heat. Configurable temperature thresholds distinguish humans from animals or equipment.

The Sound Events Detector reacts to specific sounds — breaking glass, car alarms, gunshots, screaming — regardless of camera sightlines. The simpler Sound Detector triggers on any abnormally loud sound.

Detection events trigger alerts via email, SMS, Telegram, mobile push or sound alarm. A free P2P channel enables remote access from desktop, mobile app or browser. Role-based accounts, alarm monitor mode, pop-up alerts and a full set of operator tools keep the team informed and responsive.

Flexible camera layouts and grids support multiple monitors and alert pop-ups. 360° Surround View stitches feeds into a single panoramic view. PTZ Tracking automatically follows moving objects. PTZ Presets and Guard Tours let cameras cycle through predefined positions on a schedule, running different analytics at each stop.

Preview and Archive captures video and audio continuously — from cameras, USB microphones or camera-embedded mics — stored locally, on remote disks, RAIDs or cloud storage. The Xeoma Pro archive player adds simultaneous multi-camera review, synchronized export and undeletable evidence intervals.

Age Recognition and Gender Recognition profile your real customers to guide product mix and marketing. Emotions Recognition tracks satisfaction by detecting 7 emotions in real time. Eye Tracking reveals which products or displays attract attention first. Heatmap shows the most and least visited areas of a space. All analytics export to CSV.

The Visitors Counter tracks total flow. The Cross-Line Detector adds directional counting. For distinguishing new from returning customers, the unique customers counter in Face Recognition provides that granularity. All reports export to CSV.

Voice-to-Text transcribes live speech into searchable text in real time — for monitoring customer feedback, verifying staff are following service scripts, or catching complaints before they escalate.

The Freight Unloading Counter automatically counts freight vehicles per shift and calculates productivity by day, week and team — saved directly to CSV, no manual counting needed.

The Crowd Detector monitors queue length and crowd density in real time, alerting staff to redeploy before customer dissatisfaction builds.

Face Detector (Emotions) flags staff who appear angry, distressed or disengaged during customer interactions. Combined with Voice-to-Text, it can also verify whether staff are following approved service scripts.

Color Recognition detects wrong colors or off-spec produce. Text Recognition verifies label text. QR Code Recognition confirms required codes are present. Object Size Filtering catches out-of-spec dimensions. For mining, cameras can assess raw material quality in real time. Specific requirements not covered out of the box can be addressed via My Detector or custom development.

If Face Recognition spots a loyalty member nearby, it can trigger a personalized offer automatically. If the Loitering Detector sees a customer lingering in front of a display, it can start a targeted promo video on a nearby screen. Camera streams can also be embedded on your website as a trust-building tool.

The Object Recognizer covers detection beyond people and vehicles. The dedicated Bird Detector protects crops up to 350 meters away. Drone detection is available for airports, government facilities and restricted airspace. Additional object types can be added via My Detector or custom development.

For businesses where transparency builds trust — zoos, hotels, assisted living homes, kindergartens, farms — live streams can be embedded on your website via the Web Server module or broadcast via Streaming to YouTube. The Marking module overlays custom text, GPS data or watermarks on any stream.

Face Recognition opens barriers for recognized faces via HTTP Request Sender, GPIO or JSON commands. ANPR does the same for vehicles. For higher-security zones, FaceID + Smart Card or QR Code adds two-factor authentication.

The Time and Attendance module automatically logs arrivals, departures, late arrivals, early exits and schedule deviations — no time clocks or badge readers required. Licensed per employee, works with Face Recognition. The broader Work Time Tracking toolkit also includes the Loitering Detector and absence-of-motion monitoring for workstation presence.

Parking Spots detects free and occupied spaces in real time. Combined with ANPR, it creates a complete automated paid parking solution with per-plate billing. The same combination routes trucks to free loading docks. Traffic violations can be sent to automated fining systems via FTP.

Xeoma supports body-worn cameras for security staff and in-vehicle cameras for fleet management — syncing recordings to a central server when vehicles return to base, with no permanent Internet connection required. On-board analytics include passenger counting, demographic analysis and live mobile dispatch access. Runs on compact hardware including Raspberry Pi.

The Smoke and Fire Detector complements CO2 alarms with visual detection, triggering suppression and notifications automatically. The Abandoned Objects Detector flags unattended items as a counter-terrorism measure. The Construction Safety Detector monitors PPE compliance — helmets, vests, masks. Site-specific hazards can be added via the Camera-Embedded Detector, My Detector, or paid custom development.

The Sports Tracking module detects a sports ball or players and rotates a PTZ camera to follow the action — running a sports broadcast without a dedicated camera operator.

The Modbus Controllers module receives commands from external Modbus devices; Xeoma can in turn trigger lights, shutters, heating, irrigation or any connected system. The GPIO module interfaces directly with single-board computers like Raspberry Pi for tight hardware integration.

The HTTP Marking module overlays cash register transaction data directly onto the corresponding camera stream — linking every transaction to its video context for fast investigation of disputes or voids.

Xeoma connects to perimeter systems via PTZ Senstar Tracking (Flexzone sensors), smart home systems via RIF+, and virtually anything else through a full API, HTTP Request Sender, HTTP Switcher, Application Runner and GPIO. See all integration capabilities.

The Motion Detector monitors any zone you define and reacts to movement — perfect for catching porch package theft, someone snooping around the driveway, or an after-hours break-in at a small office. To cut false alarms, set up preclusive areas to ignore known non-threats, or use the Xeoma Pro mode that reacts only to people or cars — filtering out pets, birds and passing headlights. Pair with the Scheduler or Day/Night Detector to activate only when needed.

The Cross-Line Detector triggers when someone crosses a virtual line — and detects the direction of crossing. Use it to alert when a delivery person goes around the house instead of using the front door, or when anyone crosses into a restricted area of your property or premises.

The Loitering Detector triggers when a person stays idle in camera view for longer than a configured time — catching the kind of suspicious loitering that precedes a burglary or vandalism attempt, before anything actually happens.

For more precise detection, Face Recognition builds a database of known family members, neighbors and regulars — alerting only when an unknown face appears. License Plate Recognition (ANPR) applies the same logic to vehicles, flagging unfamiliar or blocked plates while letting known cars through silently.

The AI-powered Object Recognizer can classify detected objects and ignore types that aren’t relevant to you — cats, birds, passing cars. It can also detect specific threats, including drones over your property.

Many modern cameras come with built-in analytics. The Camera-Embedded Detector lets Xeoma receive and act on those signals — extending the capabilities of cameras you already own without adding software overhead.

The Slip and Fall Detector alerts you when an elderly relative has fallen — even from a chair or sliding slowly down a wall — so help can be sent immediately. The Sound Events Detector reacts to a scream or breaking glass. The Crowd Detector or Face Recognition can alert if unexpected people are present in the home.

The Smoke and Fire Detector uses computer vision to detect smoke and flames — complementing traditional CO2 alarms with visual confirmation and earlier warning. Triggers instant notifications so you can act before a small fire becomes a large one.

Preview and Archive records continuously or only when a detection module triggers — saving storage while keeping the important moments. Footage can be stored locally, backed up to Cloud storage or uploaded to an FTP server via the FTP Upload module. The built-in archive viewer makes reviewing recordings straightforward, with instant replay of the most recent event always available.

Get alerted via email with a photo or video clip attached, SMS, Telegram, mobile push or on-screen pop-up — the moment something warrants your attention. Works from anywhere via remote access, including the free P2P channel, mobile app or browser.

Remote access lets you check in on pets while on vacation, or keep an eye on teenage kids after school. Live streams can even be shared publicly — for social media clout or just with family — while recordings can be clipped for funny pet videos. Xeoma’s free P2P channel, mobile app and Web Server module all support this without any technical setup.

Face Recognition and the Crowd Detector can alert if more people than expected are in the home — for example, if the nanny has unannounced guests. Any unknown face triggers an immediate notification. The Cross-Line Detector can alert if anyone enters a room that should be off-limits.

The Sound Events Detector can be configured to notify parents only when it hears crying — ignoring background noise like toy music or a TV. Combined with 24/7 remote camera access, this makes a capable DIY baby monitor that stores footage locally without transmitting to external servers.

For bird enthusiasts: the Bird Detector automatically detects birds in camera view and can trigger recording or a notification — so you never miss a rare visitor to your garden feeder. Detects birds up to 350 meters away and can track flight with a PTZ camera.

Xeoma connects to smart home ecosystems via the Modbus Controllers module and the GPIO module for Raspberry Pi setups. Camera events can trigger lights, shutters, heating or irrigation automatically. Works with RIF+ and similar protocols. See the Smart Homes & IoT section for the full picture.

Screen Capture records what appears on a computer screen. Combined with Text Recognition, it detects prohibited words or phrases in browsers or social media — helping protect children from online threats. Xeoma can run in hidden mode so the user is unaware. Also useful in school computer classes.

Xeoma can operate in a fully hidden mode with no visible window, no tray icon and no indication that the software is running — for discreet monitoring when you need it.

Xeoma’s built-in timelapse feature condenses hours or days of footage into a short, watchable clip. Perfect for documenting plant growth, a home renovation, a garden across the seasons, or anything else that changes slowly over time.

A camera at the front door, combined with FaceID or Face Recognition, creates a video intercom — automatically opening the door for recognized faces via HTTP Request or GPIO, while alerting you on your phone for everyone else.

If your camera covers shared or neighboring space, Privacy Masking automatically blurs defined areas of the image — keeping your surveillance legal and neighbor-friendly without repositioning the camera.

Xeoma is designed so that non-technical users can get cameras up and running within minutes. The modular chain interface is visual and intuitive — connect a source to a filter to a reaction. Works with hardware you may already own, including webcams, IP cameras and Android devices. Remote access is available via mobile app and browser without any network configuration, thanks to the free built-in P2P channel.

Xeoma is compatible with 99% of IP cameras on the market — ONVIF, RTSP, HTTP and proprietary protocols. USB cameras, webcams and even Android phones as cameras are also supported. Chances are, whatever camera you already have will work.

Xeoma’s six editions start from a free version and scale to professional tiers — so you only pay for what you need. Advanced AI modules like Face Recognition, Object Recognizer and Emotions Recognition can be purchased separately and added at any point, with a free 1-hour trial available in Xeoma Pro.

Xeoma has been in continuous development for over 20 years. New features are released regularly, and user feedback genuinely influences the roadmap. If something you need isn’t there yet, you can request it — or contact us for a custom development quote.

Recording footage for incident investigation, fraud defense, and forensic use remains a core requirement. Xeoma’s Preview and Archive module captures and stores both video and audio — from IP cameras, USB microphones, or camera-embedded mics — locally, on remote disks, RAIDs, or cloud storage.

The most straightforward intrusion tool: it monitors selected zones and reacts to suspicious movement indoors or outdoors. Advanced false-alarm filtering limits reactions to people or vehicles only, ignoring flickering lights, shadows, and swaying trees. Pairing it with the Scheduler restricts alerts to off-hours.

Where cameras have limited line-of-sight, the Sound Events Detector covers the gap — reacting to breaking glass or triggered car alarms to catch window break-ins. For simpler deployments, the Sound Detector can flag any abnormal volume level.

As public gathering spaces, malls require robust fire safety. Xeoma’s Smoke Detector uses computer vision to complement traditional CO2-based alarms — and unlike offline systems, it captures visual evidence of the situation before triggering an alert, enabling review prior to escalation.

Xeoma’s integration tools allow custom reactions to be triggered by any detected event, object, or behavior — and in reverse, external signals can instruct Xeoma to begin recording, analytics, or notifications.

When something needs your attention, Xeoma keeps you informed: via email with attached images or clips, SMS, Telegram, mobile push, sound alarm, or fully custom notification workflows.

Combine Face Recognition or License Plate Recognition with HTTP Request Sender or GPIO to control turnstiles, barriers and gates automatically. For two-factor authentication, FaceID can be paired with smart card or QR code reading.

Tag video footage with cash register transaction data. Search recordings by transaction, amount or cashier — the ultimate fraud-detection tool.

For shelf management, the Text Recognition module reads price tags and labels automatically, while QR Code Recognition handles product barcodes. The Abandoned Objects Detector can work in reverse — flagging empty shelf spaces instead of unattended items.

Staff productivity and discipline can be monitored with Xeoma’s automatic working time tracking tools, which detect late arrivals before store opening and the resulting customer impact. The Loitering Detector and the absence-of-motion option in the Motion Detector flag when staff members are away from their designated positions.

AI-powered video analytics turn cameras into a continuous source of marketing intelligence. The Age Recognition and Gender Recognition modules build a live demographic profile of your customers, giving management concrete data to refine assortment, services, and promotional strategies — either to better serve the dominant audience or to attract underrepresented segments.

Emotion Recognition tracks seven basic emotions in real time — happiness, surprise, neutrality, anger, disgust, fear, and sadness — revealing how customers respond to layout changes, background music, pricing, or in-store advertising without requiring surveys or mystery shoppers.

Tracks where customers’ gaze goes — which shelf, product or display catches attention first. The most honest product placement tool available. Shelf layout optimization with no additional hardware or sensors required.

Counts customers entering the building or specific zones to map traffic flow. For granular counting that distinguishes new visitors from returning customers, the unique visitor tracking feature within the Face Recognition module provides that precision.

Catch queues before they drive customers away. Eliminate waiting and watch satisfaction scores improve.

Face Recognition can also flag VIP customers as they enter, triggering a notification so staff can arrange appropriate treatment. The same module doubles as an employee time tracking tool, automatically recording arrival times and flagging late starts before customers are kept waiting.

For targeted advertising, the Loitering Detector identifies customers spending extended time near a specific display or section. Combined with HTTP Request Sender or Application Runner, this can trigger relevant promotional content to play automatically — delivering the right message at the right moment.

Heatmapping reveals which areas of the store attract the most attention over time, providing the data needed to make informed decisions about product placement and high-value shelf positioning.

This module handles baseline intrusion detection by monitoring selected zones for suspicious movement, indoors and outdoors. Built-in false-alarm filtering limits reactions to people or vehicles, ignoring lights, shadows, and environmental noise. A Scheduler can restrict alerts to off-hours only.

For a higher level of intrusion response, Face Recognition identifies and records faces in the frame — not just detecting movement, but capturing usable evidence for identification. Search-by-photo lets investigators locate all appearances of a specific person across the full archive.

License Plate Recognition (ANPR/LPR) does the same for vehicles — logging plates automatically for use in prosecution or investigation.

Where camera coverage is limited, the Sound Events Detector compensates — reacting to breaking glass or triggered car alarms to catch break-ins in blind spots.

Combine Face Detector (Emotions), Sound Events Detector (screams / gunshots) and traditional panic button signals into one unified alarm system. The Abandoned Objects Detector adds a further layer, alerting staff to any unattended item in camera view — a relevant counter-terrorism measure in high-footfall financial premises. Learn more.

For vaults and restricted areas: FaceID in combination with smart card or QR code reading ensures only the right person with the right credential gets in.

Visual fire detection for paper-heavy environments. Xeoma can also be embedded into ATMs — Motion Detector starts recording only when someone approaches, saving storage dramatically.

All events of interest generate alerts through whichever channel fits your workflow: email with attached images or clips, SMS, Telegram, mobile push, sound alarm, or fully custom notification integrations.

Detects camera sabotage, tampering, blackout or loss of signal — and alerts even if the server itself goes offline due to power failure.

LDAP and Active Directory are supported, allowing staff to authenticate with their existing corporate credentials without any additional account management.

Remote access is available at multiple permission levels — security officers, managers, and executives can all check cameras from a mobile app at any time, whether for situational awareness, operational oversight, or footage retrieval. For organizations with multiple branches, Xeoma’s multiserver mode centralizes all locations into a single management interface.

The Motion Detector covers perimeter and interior zones, triggering on suspicious movement with advanced false-alarm filtering to ignore irrelevant activity. Paired with the Scheduler, it can limit reactions to off-hours only.

Monitor who enters and leaves the building or restricted rooms. Detect strangers automatically with pass/block lists and search-by-photo across all recordings.

License Plate Recognition applies the same logic to vehicle access, automating gate control without manual intervention.

Where camera coverage is limited, the Sound Events Detector fills the gap — reacting to breaking glass or triggered car alarms to catch break-in attempts in blind spots.

The Abandoned Objects Detector raises an alert when any item is left unattended in camera view, serving as an additional counter-terrorism layer in public-facing areas of the facility.

As public gathering spaces, malls require robust fire safety. Xeoma’s Smoke Detector uses computer vision to complement traditional CO2-based alarms — and unlike offline systems, it captures visual evidence of the situation before triggering an alert, enabling review prior to escalation.

All events of interest generate alerts through whichever channel fits your workflow: email with attached images or clips, SMS, Telegram, mobile push, sound alarm, or fully custom notification integrations.

Detects falls from beds or in corridors in real time — including partial falls where a person slid down a wall. Immediately triggers notification or calls for help.

Reacts to screams, medical equipment alarms or calls for help — covering audio blind spots where cameras can’t see what’s happening.

Count how frequently staff checks on patients. Combine with Age Recognition to focus monitoring on elderly patients specifically.

The Motion Detector‘s absence-of-motion setting detects when activity drops below expected levels — useful in ICU environments where at least one person must be present at all times.

Heatmapping visualizes movement patterns over time, making it straightforward to audit staff rotation routines across the unit and identify where adjustments are needed.

Automatic working time tracking handles clocking in and out without manual input, eliminating the opportunity for attendance fraud.

Remote access with granular permission levels lets clinic management check any camera from a mobile app at any time — for operational oversight or footage retrieval. For pharmacy chains and medical groups with multiple locations, multiserver mode centralizes all sites into a single interface.

Veterinary clinics can use live broadcasting to address the transparency concerns their clients often raise — streaming treatment areas directly on their website or social media via the Web Server and Streaming to YouTube modules, showing sanitary conditions openly in real time.

Two-factor authentication (face + smart card or QR) for areas requiring the strictest access control — eliminating shared credential fraud.

Emotion Recognition detects seven basic emotions in real time (happiness, surprise, neutrality, anger, disgust, fear, and sadness), providing an objective, continuous read on patient and visitor satisfaction — and on whether staff are engaging warmly — without relying on surveys or spot checks.

Queue detection via the Crowd Detector monitors waiting areas automatically and alerts staff when lines form, turning a problem that is typically difficult to track into something manageable in real time.

Integrate thermal cameras to screen visitors for elevated temperature at entrances — automatically, without exposing staff.

The Cross-Line Detector tracks how many people enter the building or specific departments, providing a reliable picture of patient traffic. For a finer breakdown that distinguishes new visitors from returning patients, the unique visitor counting feature within the Face Recognition module provides that precision.

After-hours detection of unauthorized movement, combined with a rotating PTZ camera that follows the intruder automatically for continuous coverage. The Preview and Archive module ensures all incidents in corridors, elevators, and stairwells are recorded — providing documented evidence for compensation claims even without witnesses. Plus, visible cameras deter incidents before they happen.

Reacts to screams, medical equipment alarms or calls for help — covering audio blind spots where cameras can’t see what’s happening.

All relevant personnel can be notified instantly through their preferred channel — email with attachments, SMS, Telegram, mobile push, or custom alarm integrations.

The Smoke Detector adds computer vision-based fire detection on top of traditional CO2 alarms, capturing visual evidence of the situation before triggering an alert and allowing review prior to escalation.

Reacts to falls in corridors, lobbies, wet kitchen areas — calls an ambulance or notifies staff via Application Runner module.

For hospitality and food service businesses, visitor counting tools provide accurate footfall data that can be analyzed to inform staffing decisions, operational planning, assortment changes, and marketing campaigns.

For off-site backup, Xeoma Cloud stores recordings on its managed servers — keeping footage safe even if on-site hardware is damaged, stolen, or tampered with, and accessible from anywhere at any time.

Face Recognition‘s unique visitor tracking identifies returning customers, giving you an accurate picture of how many distinct individuals visit over any given period. AI-powered Age Recognition and Gender Recognition build a continuous demographic profile of your customer base. Emotion Recognition gauges satisfaction levels in real time, while Eye Tracking reveals where attention lands — useful for evaluating product placement and promotional effectiveness. Heatmapping highlights which areas of the space attract the most foot traffic over time.

AI-powered counting of seated guests at tables. Track how promotions affect visitor numbers and fine-tune campaigns based on real occupancy data.

Stream the kitchen or hotel room cleaning live on your website — showing hygiene standards openly. Dispels the most common concerns in the food and hospitality industry.

Working time tracking tools collect statistics on staff punctuality, idle time, and early departures. The Crowd Detector‘s queue detection feature alerts management when waiting times at the counter or checkout become an issue — turning a common but easily overlooked problem into something measurable.

Access control for people and vehicles can be fully automated, replacing a role that is typically unreliable when handled manually. Beyond that, AI modules can be trained for a wide range of custom operational tasks — verifying that plated dishes match the reference standard, monitoring equipment status, tracking table occupancy and average sitting duration, and more. Custom module development is available on request; the My Detector module also allows you to build your own detector within Xeoma.

Cross-referencing video footage with cash register data helps identify unauthorized discounts, loyalty point manipulation, and stock losses — giving management an objective tool to detect and address corporate policy breaches.

Beyond continuous live monitoring, Xeoma actively detects off-hours movement via the Motion Detector combined with the Scheduler, alerts security personnel through any preferred notification channel, and triggers automatic reactions such as recording. The Motion Detector can be configured to react only to people or vehicles, significantly reducing false alarms. If such simple detection algorithm is insufficient, the Object Recognizer provides more accurate classification using advanced neural networks and supports a broader range of object types.

For more precise intrusion detection, use Face Recognition that will alert only when an unrecognized face appears in the office. No false alarms for every employee who walks past — only genuinely unexpected visitors.

License Plate Recognition applies the same logic to vehicles, cross-referencing incoming cars against pass and block lists.

Several additional tools are available: the Sound Events Detector identifies break-ins by recognizing the sound of breaking glass rather than relying on visual triggers — useful where camera coverage has gaps. The Loitering Detector flags anyone lingering around a sensitive area longer than they should — server rooms, CEO’s office, archive.

The Problems Detector alerts when a camera is being tampered with or obscured, which often happens during a trespassing event. For cameras that support pan, tilt and zoom control commands, PTZ Tracking can be used to automatically follow a moving object to have full insights on the wrongdoer’s path.

Working time tracking automates clocking in and out, capturing snapshots or short video clips at each event to provide tamper-proof records and eliminate attendance fraud.

Two-factor clocking in — face plus badge — eliminates buddy punching and proxy attendance. All events are timestamped with video snapshots.

The absence-of-motion option in the Motion Detector flags when employees leave their workstations during working hours. Face Recognition and the Crowd Detector can both monitor the number of people present in a given area and trigger an alert if the count falls outside expected parameters.

Privacy Masking ensures compliance with recording restrictions by automatically blurring designated areas or customer faces in both live view and stored footage.

For front-of-house environments, the heatmap feature identifies queue buildup in time for management to adjust staffing. The Visitors Counter tracks customer flow throughout the day. Emotion Recognition monitors the emotional state of both customers and staff in real time, enabling supervisors to respond to tension or dissatisfaction before it escalates.

Remote access is available through desktop applications, mobile apps, or any web browser — including a fully free P2P connection that requires no static IP or additional infrastructure. Separate operator and management accounts can be configured with granular permissions, and LDAP authentication is supported for seamless integration with corporate directory services.

Viewing is made manageable through customizable camera grids, multi-monitor and video wall support, and automatic focus on triggered cameras. The eMap feature places camera icons on an interactive floor plan, allowing operators to jump directly to any triggered camera. The device list organizes all cameras into user-defined groups with a search function for quick location. Additional attention-drawing tools help operators stay focused on what matters — covered in detail in the For Operators section.

System requirements are kept low through several optimizations: dual streaming reduces demands on storage, network bandwidth, and CPU simultaneously; hardware acceleration via NVIDIA, AMD, and Intel graphics reduces processor load further; and WebRTC delivers smooth browser-based viewing without plugins. The result is a system that runs reliably on standard off-the-shelf hardware — and in some configurations, on single-board computers.

Support extends to 99% of cameras on the market, including fisheye cameras for which Xeoma includes a dedicated dewarping module.

Xeoma’s open API enables integration with third-party devices and systems. Custom neural detectors can be added via the My Detector module, camera-native detection can be leveraged through the Camera-Embedded Detector, and bespoke integrations or features can be developed on request by our team.

Besides 24/7 live camera access to the baby’s room, Xeoma’s Sound Events Detector can be configured to notify parents only when it hears the sound of a baby crying — while ignoring other sounds like the melody from a pacifier toy. The result is a smart baby monitor that only pings you when you actually need to react, rather than constantly. Works entirely offline — no footage is transmitted to external servers.

Both Face Recognition and Crowd Detector can count the number of people in a room and trigger an alert if there are more people in the camera’s field of view than expected — for example, if the nanny is having guests while you’re out. Face Recognition goes further: it can detect a total stranger in camera view — someone who is neither the nanny nor your child — and notify you immediately via a reaction module of your choice.

If the nanny is not expected to go to certain rooms in your home, place cameras there and configure the Motion Detector to alert on any movement. The advanced version of the module can be set to react only to people, ignoring changes in lighting, shadows or animals. Similarly, the Cross-Line Detector can trigger a reaction if either the child or the nanny crosses into an unsafe or off-limits area.

Xeoma’s Screen Capture module records what a child sees on their computer screen, giving parents visibility into their online activity. Xeoma can also run in hidden mode so the child is unaware of its presence. Combined with Text Recognition, the system can spot prohibited words or phrases appearing in social media or web browsers and launch an automatic reaction — one of the most effective ways to protect children from online threats and cyberbullying.

Xeoma’s computer vision-based Smoke Detector adds a visual layer of fire detection on top of traditional CO2-triggered alarms — and unlike offline systems, it can provide visual evidence of the suspicious situation for review before an alarm is triggered, reducing false alarms and improving response accuracy.

The Slip and Fall Detector proactively alerts parents if a child has fallen in the yard or at home and may need help — without requiring a parent to be watching the live feed at that exact moment.

Xeoma’s AI-powered Face Detector (Emotions) recognizes 7 basic human emotions in real time — happiness, surprise, neutrality, anger, disgust, fear and sadness. It can notify parents if a baby appears sad or frightened, enabling timely intervention without constant manual monitoring.

The Preview and Archive module captures both video and audio streams — from USB microphones, IP microphones or camera-embedded mics — and stores them locally, on remote disks, RAIDs or Cloud storage. Remote access — including a fully free P2P channel — lets parents check on the baby from desktop, mobile app or browser at any time. Separate accounts can be created for each family member.

The Motion Detector is the foundation of outdoor intrusion detection — reacting to suspicious movement in selected areas, day or night, indoors or outdoors. Its advanced anti-false-alarm logic can be configured to react only to people or vehicles, ignoring weather changes, lighting shifts and animals. Combine with a Scheduler to send alerts only during off-hours, keeping noise low during the day.

Face Recognition distinguishes known people — family members, neighbors, the nanny — from total strangers and triggers an alert only when an unknown face appears. License Plate Recognition applies the same logic to vehicles, flagging unrecognized or blocked plates and letting known cars through automatically.

When Motion Detector’s people/vehicle classification isn’t precise enough, the AI-powered Object Recognizer offers superior detection accuracy with advanced algorithms covering many object types. It also includes an option to detect drones — useful for catching surveillance UAVs near school campuses or private properties.

The Sound Events Detector identifies specific sounds — such as breaking glass or a car alarm — regardless of whether anything suspicious is visible on camera. The simpler Sound Detector reacts to any unusually high volume of sound, providing an additional layer of audio-based intrusion detection.

The Loitering Detector flags anyone seen idle-standing near the property for too long — a classic pre-incident signal. Combined with the Cross-Line Detector, the system can also trigger a reaction if someone steps from the driveway toward the house for no obvious reason.

For cameras that support pan, tilt and zoom commands, PTZ Tracking automatically follows a moving person or vehicle, keeping them in frame as they move across the scene. The Problems Detector alerts operators if a camera is being tampered with, obstructed or otherwise compromised.

When any of the above detectors triggers, Xeoma can immediately launch a configurable reaction: sounding an alarm, turning on lights, dispatching a push notification or SMS to parents or security personnel, or executing a custom automation script. Any combination of detection and reaction modules can be chained together.

Contemporary VMS like Xeoma makes it possible to install cameras on school buses and take advantage of both live streams and recordings for safety accountability. Passenger counting, demographic analytics and live dispatch access via mobile app are also available. See the “Parkings & Vehicles” section for full details on on-board surveillance capabilities.

Give parents a reason to choose your facility over the competition: live broadcasts embedded on your website or YouTube channel show the everyday “behind the scenes” of your operations — sanitary conditions, activities, interactions — helping to dispel concerns about abuse and build trust. Xeoma’s Web Server module handles in-browser live streams, while the Streaming to YouTube module pushes live feeds directly to your social media. The Marking module can overlay custom text, GPS data or a watermark on any stream.

A more controlled alternative to public live streaming: give parents their own accounts to view cameras relevant to them, while staff accounts have different permissions. Xeoma’s free P2P channel means no static IP is required. View from desktop, mobile app or browser. Independent accounts mean parents and staff cannot inadvertently break the system even without technical knowledge.

Video footage is an incorruptible truth-teller in any conflict or incident. Preview and Archive captures both audio and video continuously, stored locally or in Cloud storage. Recordings protect the facility against false claims and provide documentation for any incident involving children or staff.

Face Recognition automates pedestrian entry: it detects faces, matches them against a pass list of authorized staff and parents, and works in tandem with gate barriers or turnstiles via HTTP Request Sender, Application Runner, GPIO or JSON commands. License Plate Recognition does the same for vehicles — automatically opening the gate for registered cars while logging all plate numbers for security records.

For higher-security zones, stricter double authentication is available: the FaceID module combines face recognition with a smart access card or QR code, verifying both the person’s face and their pass simultaneously. This is ideal for automated campus entry for students who carry access cards.

Maintaining a violence-free, nurturing environment is both an ethical obligation and a reputational necessity. Xeoma’s AI-powered Face Detector (Emotions) recognizes 7 basic emotions in real time — happiness, surprise, neutrality, anger, disgust, fear and sadness — making it possible to detect workers in a bad disposition or distressed children and investigate before a situation escalates.

When the facility is closed, Xeoma continues to monitor. Motion Detector in combination with Scheduler detects any movement during off-hours and alerts security personnel immediately. The more sophisticated Sound Events Detector and Loitering Detector add further layers of intrusion detection beyond simple motion.

If staff are required to wear specific uniforms or protective equipment, Xeoma’s AI can be trained to monitor compliance in real time. The existing Safety Gear Detector detects helmets and hi-vis vests, while the Mask Detector (part of Face Recognition) checks whether people are wearing face masks. Additional items can be added on request — contact us for a free quote.

For sports clubs and activity centers, Xeoma’s Sports Tracking module automatically detects a sports ball or players in the camera’s field of view and rotates the camera to always follow the most interesting action — effectively automating sports broadcasts without a dedicated camera operator.

Live Eye Tracking follows the movement of a person’s eye and gathers data on where their gaze is directed at any given moment. For children’s educational and psychological research — understanding attention patterns, behavioral tendencies or learning engagement — this is a uniquely powerful and objective data source.

The Motion Detector identifies trespassing in off-hours across multiple independently configured zones, with false-alarm filtering that limits reactions to people or vehicles only. When a trigger fires, automated responses can include a sound alarm, lights activation, or a notification to security personnel — or any custom reaction. All incidents are recorded by the Preview and Archive module for investigation and evidentiary use. PTZ Tracking can instruct a rotating camera to follow a detected subject automatically.

External detection systems are also supported: camera-embedded detectors via the Camera-Embedded Detector module, Flexzone motion-sensitive perimeter fencing via the PTZ Tracking module, and START-7’s RIF+ systems via the SmartHome — RIF+ module. Custom analytics tools can be integrated using the My Detector module.

AI-powered detection of missing helmets or safety vests in camera view — automatically enforces health and safety compliance without manual checks.

Integrate thermal cameras to screen visitors for elevated temperature at entrances — automatically, without exposing staff.

Damages can be caused not just by people but by natural causes as well. Use Xeoma’s computer-vision-powered smoke and fire detection with the Smoke Detector module module for early detection of a starting fire.

When a single camera must cover a large area, PTZ tour functionality allows a rotating camera to cycle through predefined positions — balancing coverage with cost rather than installing multiple fixed cameras. The Moving to PTZ Preset module extends this further, enabling Xeoma to run different analytics at each position in the tour.

Timelapse condenses a full day or week of construction activity into a compact review — useful for management oversight and compelling for clients or investors who want to visualize progress over time.

Live streaming via the Web Server and Streaming to YouTube modules lets construction companies broadcast site activity directly on their website or social media, giving investors and customers real-time visibility into how the project is progressing.

Remote access allows the site to be monitored from anywhere in the world at any time, with no need for physical presence.

License Plate Recognition can identify supplier vehicles on arrival and, through Xeoma’s integration tools, automatically route them to their assigned dock or unloading bay. If internal speed limits apply on site, the Speed Detector module flags violations automatically.

Counts freight vehicles that entered and got unloaded, tracking productivity per shift. Reports save automatically to CSV.

Detects movement in selected zones, indoors or on the perimeter. Set to react only to people or vehicles to minimize false alarms, and combine with Scheduler for off-hours-only alerts.

Detects drones — useful against industrial surveillance UAVs. Also reacts to breaking glass or car alarms via the Sound Events Detector or loud sounds with Sound Detector. The Relay Switch module can detect sudden absence of background sound — a sign of sabotage or power outage.

Xeoma can receive alerts from external perimeter systems (e.g. Flexzone sensors via PTZ Senstar Tracking) and from cameras’ built-in detectors (Camera-Embedded Detector). Extensive API and integration tools available.

Xeoma’s Problems Detector triggers automatically when cameras are tampered with, obscured, or experiencing technical issues — ensuring faults are caught before they become blind spots. For deployments where downtime is not an option, Xeoma’s Failover capability keeps the system running continuously by switching to a backup server the moment the primary goes offline.

Stitches images from multiple cameras into a panoramic “bird’s-eye” view — ideal for monitoring large production sites from a single screen slot.

Captures both audio and video streams. Recordings can be stored locally, on remote disks, RAIDs or Cloud. Xeoma can also import footage from NVRs and camera SD cards. Backup tools protect against server failure.

Large quantities of raw materials, dust and by-products can start a fire. Computer vision-based smoke and fire detection complements CO2 alarm systems — and provides live visual confirmation of what triggered the alarm.

AI-powered detection of whether workers are wearing protective helmets, hi-vis vests, masks, gloves or other required PPE — automatically enforcing health and safety regulations.

Loitering Detector flags idle standing. The “absence of motion” option in Motion Detector detects if a conveyor belt or machine has stopped, or if workers are away from their posts.

Long shifts and high-stress environments can lead to confrontational behavior. The Emotions Detector flags workers who appear angry or distressed so supervisors can intervene early. Thermal Camera Data can detect fever.

Detect cracked glass bottles, deformed containers, missing barcodes, wrong paint colors or incorrect label text. The system can trigger automatic rejection of defective items or alert an operator.

Use your own neural network libraries with the My Detector module, or use cameras’ built-in analytics. Detect prohibited items, non-compliant behavior or any pattern specific to your production process. Contact us for custom development.

Quality event data is automatically saved to reports for later analysis — helping identify recurring weaknesses, compare shift performance and make targeted adjustments that reduce spoilage costs over time.

When a defect or anomaly is detected, Xeoma can trigger a range of automated responses — from operator notifications and custom automation scripts to smart relay switches that physically discard defective items from the line without human intervention.

Fully configurable camera layouts support multiple monitors, alert pop-ups, automatic camera switching, and adjustable transparency and fonts. Marking overlays embed timestamps, GPS coordinates, custom text or image stamps directly onto the stream, while loop recording with instant replay ensures no event goes unreviewed.

Large camera networks are easily navigated via the Device List or a multilayered eMap. Operators can switch between manual PTZ control and fully automatic object tracking with zoom at any time.

Automatically detect a fall in a public space and dispatch a patrol or ambulance. Sound Events Detector reacts to gunshots or screams in the street — notifying police immediately. The Emotion Recognition module detects anger or fear in public spaces, enabling a proactive patrol response before a situation escalates.

Xeoma supports on-board video surveillance covering passenger counting via the Crowd Detector, continuous recording via Preview and Archive or Save to File, and automatic upload to a central server when the vehicle returns to a depot.

During virus outbreaks, the Mask Detector identifies individuals without face coverings, the Crowd Detector flags gatherings that exceed permitted group sizes or breach distancing requirements, and the Thermal Camera Data module screens for elevated body temperature in public spaces.

Detects unattended bags or packages in airports, stations and public spaces — despite crowds, without requiring a human operator to spot it. The Object Recognizer‘s drone detection capability identifies UAVs posing a safety risk.

For large-scale deployments, Xeoma supports network clustering and centralized management across thousands of cameras. The Problems Detector monitors system health continuously — identifying camera tampering, image blackouts, sudden angle changes, and communication loss — ensuring the network remains reliable without requiring constant manual oversight.

Xeoma can be integrated into body-worn camera systems, streaming live footage to a dispatcher in real time. It can equally serve as the core of a mobile surveillance complex on board a police vehicle. Beyond recording, these deployments can run active analytics: Text Recognition detects graffiti or signage containing prohibited terms such as drug-related keywords; Face Recognition identifies wanted or missing persons against a reference database; License Plate Recognition flags stolen vehicles or cars associated with known suspects.

For border security and field deployments, Xeoma runs on standard off-the-shelf hardware without requiring an internet connection, and integrates readily into existing infrastructure — making it well suited for relocatable surveillance systems in national security applications.

Detect speeding vehicles, log their plates and feed the data to automated fining systems via ANPR Sending to FTP. Both mathematical and hardware radar methods supported.

Modbus controllers sync with traffic lights to detect red-light violations. Alternatively, Color Recognition detects the red signal visually — no infrastructure integration required.