Intelligent Safety Monitoring
with Edge AI
MTechnology cameras process video analytics directly on-device. PPE compliance, perimeter protection, behavioral analysis and thermal monitoring run at the edge — no external servers, no additional software, no recurring license fees.
The intelligence is in the camera, not on a server
Traditional video analytics systems rely on server-side processing: cameras stream raw video to a central GPU server, which runs the analysis. More cameras mean more processing power — and more cost.
MTechnology takes a different approach. Every camera carries a dedicated AI processor that analyses the scene in real time, on-device. The NVR receives pre-processed events — not raw video to decode. Each camera you add brings its own computing power.
The result: zero GPU servers to purchase, sub-100ms alarm latency, and full functionality even during network outages. The system scales naturally from 10 to 200+ cameras without architectural changes.
FIELD CONTROL ROOM
AI Cameras ──┐ NVR (AI engine)
PPE detect │ ├── Local monitor
Perimeter ├── PoE Switch ── ├── Mobile app (push)
Person/Veh. │ ├── HSE reports
│ ├── Alarm I/O
Thermal ──────┤ └── Local storage
Fire detect │
│ [VMS] ← optional
I/O Sensors ──┘ visualization layerSix AI functions that run natively on every MTechnology camera — no plugins, no server-side processing, no third-party software required.
PPE Detection
Detects 9 personal protective equipment attributes in real time: hard hat, high-visibility vest, mask, gloves, safety goggles, safety shoes, apron, coveralls and safety harness. Instant alarm when a worker enters a restricted area without the required PPE.
Person & Vehicle Classification
Distinguishes people, vehicles and non-motorized vehicles from environmental noise — leaves, animals, shadows, rain, snow. The NVR receives only verified events, not generic motion alerts.
Perimeter & Restricted Areas
Directional tripwire, polygon intrusion zones, fast-moving detection and loitering alerts. Each rule filters by target type (person or vehicle), so a forklift crossing a line does not trigger a pedestrian alarm.
Behavioral Analysis
Detects running, falling, loitering and abnormal crowd formation. In ATEX-classified zones, smoking detection triggers an immediate alarm. Events are logged with timestamp, area and snapshot for post-incident review.
Thermal Monitoring & Fire Prevention
Bi-spectrum cameras (visible + thermal) detect hotspots before they become fires. Configurable temperature thresholds with pre-alarm and critical alarm levels. Emissivity calibration for industrial materials is essential for accurate readings.
ANPR & Vehicle Access
Automatic Number Plate Recognition with allowlist/blocklist matching. Authorized vehicles open barriers automatically; unauthorized plates trigger alerts with plate image, timestamp and direction. Integrates with access control and visitor management.
Why processing at the camera matters for industrial HSE deployments.
| Capability | Server-based approach | MTechnology Edge AI |
|---|---|---|
| Where AI runs | Central GPU server or cloud | Dedicated AI processor on each camera |
| PPE Detection | Requires third-party plugin + server license | Native — 9 PPE attributes, on-device |
| Alarm latency | 200–500ms (network + server queue) | <100ms (processed locally) |
| Scaling cost | More cameras = more GPU power needed | Each camera brings its own processing |
| GPU servers required | Yes (typically 1 per 30–50 channels) | None |
| Per-channel licenses | Yes (analytics + VMS) | None — all analytics included |
| Network dependency | Analytics stop if network fails | Full operation during network outages |
| VMS integration | Required for analytics to function | Optional — system is self-sufficient |
| Storage optimization | Standard H.265 | Smart H.265+ — up to 50% less storage |
Video surveillance in the workplace operates within a strict regulatory framework. MTechnology integrates privacy protection by design.
Real-Time Privacy Masking
Automatic face and body masking applied directly on-camera. AI analytics continue to function beneath the mask — PPE detection, people counting and perimeter protection all work on anonymized video. Control room operators see silhouettes, not identifiable individuals.
Controlled Decryption
In post-incident investigations, original unmasked footage can be accessed only with management-level authorization keys. This dual-layer approach supports data minimization principles while preserving the ability to review footage when legally justified.
GDPR Data Minimization
Privacy masking supports the GDPR principle of data minimization: the system collects only what is necessary for safety monitoring. Analytics metadata (event type, timestamp, zone) is processed without requiring personally identifiable visual data in normal operation.
Cybersecurity
AES-256 encrypted streams, HTTPS management, 802.1X network authentication, configurable multi-factor access. Firmware integrity checks and secure boot prevent tampering. No mandatory cloud connection — all data stays on local infrastructure.
Important: Where video surveillance may result in remote monitoring of work activity, applicable labor regulations (e.g. worker representation agreements or labor inspectorate authorization under EU member state laws) must be observed. A DPIA (Data Protection Impact Assessment) is recommended for all workplace deployments. Privacy masking is a technical measure supporting compliance — it does not replace the required legal and organizational saf
Video surveillance in the workplace operates within a strict regulatory framework. MTechnology integrates privacy protection by design.
Real-Time Privacy Masking
Automatic face and body masking applied directly on-camera. AI analytics continue to function beneath the mask — PPE detection, people counting and perimeter protection all work on anonymized video. Control room operators see silhouettes, not identifiable individuals.
Controlled Decryption
In post-incident investigations, original unmasked footage can be accessed only with management-level authorization keys. This dual-layer approach supports data minimization principles while preserving the ability to review footage when legally justified.
GDPR Data Minimization
Privacy masking supports the GDPR principle of data minimization: the system collects only what is necessary for safety monitoring. Analytics metadata (event type, timestamp, zone) is processed without requiring personally identifiable visual data in normal operation.
Cybersecurity
AES-256 encrypted streams, HTTPS management, 802.1X network authentication, configurable multi-factor access. Firmware integrity checks and secure boot prevent tampering. No mandatory cloud connection — all data stays on local infrastructure.
Important: Where video surveillance may result in remote monitoring of work activity, applicable labor regulations (e.g. worker representation agreements or labor inspectorate authorization under EU member state laws) must be observed. A DPIA (Data Protection Impact Assessment) is recommended for all workplace deployments. Privacy masking is a technical measure supporting compliance — it does not replace the required legal and organizational safeguards.
AI Edge Analytics for Industrial Safety & HSE
Our comprehensive white paper covers the full MTechnology AI ecosystem: PPE detection, behavioral analysis, thermal monitoring, ANPR, privacy compliance, cybersecurity and pilot deployment methodology.