AI-VISION ANALYTICS

Our platform integrates with most IP cameras, legacy analog systems (via encoders), and cloud-based video streams. No hardware replacement is required. The AI processes video feeds in real-time using edge devices or a secure cloud instance, extracting behavioral, safety, and operational metrics without disrupting your current surveillance setup.

The computer vision models can detect hard hat/PPE violations, workers in restricted danger zones,摔倒 (falls), unauthorized entry, social distancing breaches, fire/smoke anomalies, and unsafe equipment handling. You can also customize rules for industry-specific compliance (OSHA, ISO, local safety codes).

Yes. Our AI Vision Analytics solution offers privacy modes such as blurring faces and license plates, retaining only anonymized skeletal/keypoint data for behavior analysis. You can choose on-premises deployment to keep all video data within your network. We comply with GDPR, CCPA, and other regulations; data retention policies are fully configurable

Alerts can be triggered by any rule violation: safety breaches, productivity dips (e.g., idle time threshold exceeded), overcrowding, unauthorized after-hours movement, or equipment anomalies. You receive notifications via email, SMS, Slack, Microsoft Teams, or webhook to integrate with your existing incident management system.

Absolutely. Instead of individual monitoring, it aggregates anonymous data to show zone-level congestion, task cycle times, bottleneck hotspots, and adherence to standard workflows. Managers can then reallocate resources, redesign layouts, or provide targeted training — boosting throughput and reducing fatigue without invasive surveillance.

For retail: foot traffic heatmaps, dwell time per product category, queue length & wait times, shelf out-of-stock detection, and checkout efficiency. For manufacturing: assembly line speed, defect detection, machine utilization, worker motion efficiency, and predictive maintenance alerts based on vibration or positioning anomalies

Our models achieve 90-99% accuracy depending on camera angle, lighting, and occlusion. They are trained on diverse industrial environments and continuously improve via active learning. You can also fine-tune them with a small set of your own labeled images to reach near-perfect precision for unique scenarios.

Customers typically see a reduction in safety incidents by 35-50%, productivity gains of 15-25% (through bottleneck elimination), and up to 20% shrinkage reduction in retail. Most deployments achieve payback within 6-12 months via lower insurance premiums, reduced waste, and improved labor efficiency.

No. Our edge AI option runs entirely on on-premise gateways (e.g., NVIDIA Jetson, Intel NUC) and maintains full functionality during internet outages. Analytics data and alerts are stored locally and synchronized when connectivity resumes. Cloud-based mode is also available for multi-site dashboards.

Traditional VMS focuses on recording and playback. AI Vision Analytics adds a real-time semantic layer: it turns pixels into structured data (counts, events, trends) and triggers actions. It works alongside your existing VMS, enhancing it with predictive and prescriptive intelligence — not just forensic review.

Pilot deployment (1-2 cameras) can be live within 2-3 days. Full site rollout (up to 100 cameras) typically takes 2-4 weeks, including camera positioning assessment, model calibration, and dashboard configuration. Our professional services team supports every step.