Rychagov S.
👤 Computer Vision · Safety Monitoring

AI Video Analytics for Personnel and Safety

Employee monitoring, detection of people in hazardous zones, safety violation tracking, and realtime alerts.

Key facts

People detection

YOLOv26 with TensorRT inference: zone entry, movement direction, crowd density. Up to 16 streams per GPU.

PPE detection

Helmets, vests, gloves — automatic compliance check on every frame. Violations logged with evidence.

Zone control

Virtual perimeters: intrusion detection, loitering, zone crossing, restricted areas.

Crowd analytics

People counting by area, density heatmaps, realtime crowd anomaly detection.

FAQ

What cameras and protocols are supported?

RTSP/IP cameras (Hikvision, Dahua, ONVIF), USB cameras, video files (MP4, AVI), YouTube streams.

Can I train a model on custom objects?

Yes, pipeline: annotation in YOLO format, YOLOv26 fine-tuning, export to ONNX/TensorRT for edge deployment.

How does PPE detection work?

YOLOv26 is trained to recognize helmets, vests, and gloves. Violations are automatically logged with timestamp, bbox, and screenshot.

How many streams does one GPU handle?

Up to 16 RTSP streams at 15 FPS on a single GPU (TensorRT). Edge inference on NVIDIA Jetson. Scale by adding nodes.

Limitations and when it may not fit

Detection quality depends on camera resolution and conditions (lighting, occlusions, weather).

Complex scenes (dense crowds) may require fine-tuning YOLOv26 on your data.

Realtime processing requires an NVIDIA GPU (CUDA). CPU is limited to batch file processing.

Safety monitoring — reaction instead of prevention

Factories and construction sites have dozens of cameras, but incidents are discovered after the fact. An operator cannot watch all zones simultaneously, gets tired after 20 minutes, and misses up to 90% of safety violations. PPE checks and zone monitoring are done manually.

Result: violations go unrecorded, investigations drag on, and fines and accidents could have been prevented. YOLOv26 + TensorRT take over the routine 24/7 — fewer violations, automated checks, and realtime alerts.

How it works

1

Connect on-site cameras

RTSP/IP cameras (Hikvision, Dahua, ONVIF) or USB cameras. Setup in minutes.

2

Configure zones and rules

Virtual perimeters, restricted zones, PPE compliance rules, alert thresholds.

3

YOLOv26 analyzes the video stream

Detects people, checks PPE, tracks movements, and monitors zone violations. TensorRT for realtime inference.

4

Get alerts and analytics

Realtime notifications via Telegram/webhook, event logs with timestamps, heatmaps, and shift reports.

Architecture Pipeline

Camera (RTSP / ONVIF)
    ↓
YOLOv26 Detection + Tracking (ONNX / TensorRT)
    ↓
PPE Check / Zone Analysis / Behavior Detection
    ↓
Event Engine (intrusion, loitering, fall, smoking)
    ↓
Dashboard / REST API / Telegram / Webhooks / MQTT

Integrations

RTSP / IP cameras

Hikvision, Dahua, ONVIF-compatible. Connect any manufacturer.

Telegram

Realtime notifications on safety violations, intrusion, missing PPE — straight to the responsible person.

Webhooks / REST API

Push events to any system: ERP, helpdesk, analytics platforms.

MQTT

Lightweight protocol for IoT integrations and edge devices (NVIDIA Jetson).

ONNX / TensorRT

Inference optimization for GPU acceleration and edge deployment without accuracy loss.

1C / ERP

Export violation reports, event logs, integration with HR systems.

Edge inference

Deploy on NVIDIA Jetson and other edge devices without a constant server connection.

CSV / Database

Full event log for analytics, incident investigations, and compliance audits.

Features

🦺

PPE detection

Automatic helmet, vest, and glove checks. Violations logged with bbox and screenshot.

🚧

Intrusion detection

Virtual perimeters: instant alert on restricted zone crossing or prolonged presence.

📱

Phone detection

Detect phone usage in work zones and hazardous areas of the facility.

🚭

Smoking detection

Detect smoking in unauthorized areas. Automatic recording with evidence.

⚠️

Fall detection

Real-time detection of a person falling. Emergency alert for rapid response.

📍

Loitering / Zone crossing

Track suspicious behavior: prolonged presence, zone crossing, route anomalies.

📊

Crowd analytics

People counting, density heatmaps, realtime abnormal crowd detection.

👤

Personnel tracking

Unique ID per person, route tracking, zone presence monitoring.

Where it's used

Manufacturing and industry — PPE compliance (helmets, vests), hazardous zone monitoring, automated safety checks.

Construction — PPE detection, restricted zone control, fall detection, crew activity analytics.

Warehouses and logistics — phone/smoking detection, hazardous zone control, personnel counting.

Retail — visitor counting, heatmaps, queue analytics, theft detection.

Dangerous zones — intrusion detection, virtual perimeter, realtime alerts on unauthorized access.

Occupational safety — automated violation recording, evidence base for investigations, compliance reports.

Interested in practical People Analytics experience?

We can show you how YOLOv26 + TensorRT detect people, check PPE, detect smoking and falls on real RTSP streams.

Connect on Telegram