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SafeVision AI uses deep learning computer vision to detect PPE compliance in real-time across multi-camera environments — eliminating blind spots and human error.
Simultaneously identifies helmets, vests, gloves, goggles, and unauthorized persons across unlimited camera streams.
Hybrid deployment on NVIDIA Jetson edge devices and cloud infrastructure for sub-50ms response time.
Daily, weekly, and monthly safety compliance reports auto-generated with incident logs and zone analytics.
Multi-channel alerts via SMS, email, WhatsApp, and in-dashboard notifications within milliseconds of violation.
Every feature built to serve one purpose — zero workplace casualties through proactive AI surveillance.
Detects presence, absence, and incorrect wearing of safety helmets with 99.2% accuracy across all lighting conditions.
Core ModuleHigh-visibility vest detection with color-calibration to distinguish compliant vs. non-compliant workwear in real time.
Core ModuleDetects safety gloves, steel-toe boots, and respiratory masks across dynamic environments with occlusion tolerance.
AdvancedDefine virtual danger zones. Trigger instant alerts when unauthorized personnel enter restricted areas without PPE.
AdvancedManage hundreds of IP/CCTV cameras from a unified dashboard with automatic failover and smart frame selection.
InfrastructureAuto-generated PDF/Excel reports with violation heatmaps, shift-wise compliance scores, and trend analytics.
AnalyticsWatch how SafeVision AI processes live camera feeds and detects PPE violations in milliseconds.
Four intelligent steps from camera to compliance dashboard.
Integrate any IP, CCTV, or PTZ camera via RTSP/ONVIF. Supports H.264/H.265 streams up to 4K resolution.
Video frames streamed to edge or cloud AI servers. Preprocessing pipeline handles noise, lighting normalization.
YOLOv8-based deep neural network detects PPE objects with bounding boxes, classification, and confidence scores.
Real-time dashboard shows violations, compliance rates, camera feeds, alert logs, and downloadable reports.
Deployed across diverse industry verticals with custom compliance rules per site.
Enforce helmet, vest, glove, and harness compliance across multi-floor construction sites with zone-level control.
Learn MoreMonitor assembly lines, machinery zones, and loading docks for PPE compliance and unauthorized access prevention.
Learn MoreTrack footfall, monitor staff compliance, detect shoplifting behavior, and optimize store layouts with AI heatmaps.
Learn MoreCity-scale surveillance with crowd analytics, traffic management, public safety monitoring, and emergency response.
Learn MoreProven results across the world's most demanding safety environments.
End-to-end AI vision solutions tailored to your operational needs.
AI-enforced PPE compliance with automated audit trails, regulatory reporting, and zero-tolerance violation alerts for OSHA, IS standards.
Perimeter intelligence with intruder detection, blacklist face recognition, and anomaly behavior analysis for critical infrastructure.
Real-time crowd density mapping, stampede prediction, and capacity enforcement for stadiums, malls, and public events.
Intelligent visitor registration, face-recognition check-in, and automated access control for enterprise facilities and campuses.
Documented AI compliance reduces workplace accident liability and negotiates lower insurance rates.
Proactive violation prevention ensures continuous OSHA, ISO 45001, and local safety standard compliance.
Automated alerts dispatch supervisors within milliseconds of a PPE violation — not after the shift ends.
Monthly trend analysis and per-worker compliance scoring builds accountability and measurable improvement.
One screen. Complete visibility. Total control over every camera, alert, and compliance metric.
Scale from a single site to global enterprise deployment. No hidden fees.
Perfect for small sites and pilot deployments.
Ideal for medium enterprises with multiple sites.
Unlimited scale for large, global deployments.
Sign in to your SafeVision AI dashboard
SafeVision AI supports any IP camera with RTSP/ONVIF protocol, including all major brands (Hikvision, Dahua, Axis, Bosch). It also supports USB cameras, CCTV DVR/NVR systems, and cloud cameras. Resolution support ranges from 480p to 4K.
For edge deployment, a minimum of NVIDIA Jetson Orin (16GB) or a server with NVIDIA GPU (RTX 3060 or higher) is recommended. Cloud deployment requires only a stable internet connection. We provide deployment support and certified hardware bundles.
Our latest YOLOv8-based model achieves 99.2% accuracy for helmet detection, 98.7% for safety vests, and 97.4% for gloves under optimal conditions. Accuracy remains above 95% in challenging conditions including low-light, crowded scenes, and partial occlusion.
Yes. SafeVision AI integrates seamlessly with your existing CCTV cameras and DVR/NVR systems without hardware replacement. Our adapter software connects to your existing network video recorders and streams data to the AI engine.
SafeVision AI offers flexible deployment: on-premise (all data stays within your network), cloud (AWS/Azure with encrypted storage), or hybrid. All data is AES-256 encrypted at rest and in transit. We are GDPR and ISO 27001 compliant.
Standard deployments (up to 20 cameras) are typically live within 48–72 hours. Large enterprise rollouts with 100+ cameras and custom AI training require 2–4 weeks. Our dedicated deployment team handles everything end-to-end.
A world-class team of AI researchers, engineers, and safety experts.
10+ years in computer vision and AI product leadership. Former VP Engineering at Bosch Rexroth.
PhD in Deep Learning from IIT Bombay. Pioneer in multi-object detection research with 15+ publications.
Serial entrepreneur with exits in SaaS and industrial IoT. Scaled operations across 20+ enterprise clients.
Specializes in edge AI optimization and model quantization. Built SafeVision's real-time inference engine.
Request a live demo, get pricing, or talk to our AI safety experts.