NAVA Vision AI:CollisionView – Forklift Collision Prevention FREE PoC

The NAVA Vision AI: CollisionView helps organizations across manufacturing, industrial operations, construction, energy, retail distribution, logistics, ports, and oil & gas prevent collisions involving forklifts, pallet jacks, yard vehicles, cranes, heavy equipment, and pedestrians.

Using your current CCTV/IP camera infrastructure, CollisionView provides real-time detection of people, forklifts, AGVs, tuggers, yard trucks, and heavy machinery, predicting potential collision paths and sending instant alerts to supervisors or onsite warning systems.

This service uses a combination of technologies including, but not limited to OpenCV, YOLO, Rekognition Custom Labels, SageMaker, Kinesis Video Streams, IoT Core, Lambda, and API Gateway to deliver a secure, scalable, low-latency collision prevention system. Optional edge processing on NVIDIA Jetson or GPU-enabled gateways provides rapid, on-premises inference for facilities with limited network connectivity.

CollisionView significantly reduces workplace injuries, OSHA violations, lost-time incidents, equipment damage, and operational downtime while improving safety compliance and insurance risk management.

• Predictive collision path analysis and near-miss detection
• Instant alerts via dashboards, SMS, alarms, or facility warning systems
• Restricted zone, blind spot, and hazard area monitoring
• Works with existing CCTV/IP cameras (no new hardware required for cloud mode)
• Cloud or edge inference using AWS or NVIDIA Jetson
• Audit logs with time-stamped video frames for incident analysis and safety reporting

Safety & Collision Analysis Workshop

• Identify collision hotspots, pedestrian pathways, equipment flow, blind spots, and restricted zones

Data Pipeline Setup

• Configure Kinesis Video Streams and S3 ingestion for live video or recorded footage Collision Detection Model Development Train or fine-tune models for pedestrian detection, forklift detection, heavy equipment recognition, path prediction, and unsafe behavior detection

Deployment Options

• Cloud inference via SageMaker or Rekognition endpoints
• Edge inference on NVIDIA Jetson / GPU gateways for real-time, onsite alerts

System Integration

• Alerts and APIs for EHS platforms, SCADA/DCS, ERP, WMS, access control, or facility alarm systems

Dashboards & Alerting Interface

• Dashboards for incidents, near-miss trends, heatmaps, and behavior analytics

Testing & Validation

• Accuracy tuning, environmental testing, and incident simulation

Documentation & Knowledge Transfer

• SOPs, architecture documentation, and training sessions for safety & operations teams

• Deployed CollisionView detection pipeline
• Cloud or edge inference setup
• Real-time collision alerting system
• Safety dashboards
• API integration with facility systems
• Performance & accuracy report
• Deployment documentation
• Onsite/virtual training & knowledge transfer

• Provide access to camera feeds or sample video footage
• Provide AWS account access or provisioning approvals
• Provide integration details for EHS, SCADA/DCS, ERP, WMS, or access control systems
• Ensure network connectivity for camera → AWS or camera → edge gateway