Cosmos SafetyNet: CR2-powered forklift safety reasoning with structured JSON outputs and a review dashboard.
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Updated
Mar 5, 2026 - Python
Cosmos SafetyNet: CR2-powered forklift safety reasoning with structured JSON outputs and a review dashboard.
An ESP32-based indoor positioning system using trilateration for real-time collision prevention in warehouses. Includes a React web app with interactive simulation, distance visualization, and audio alarms for crash prevention demonstrations.
Real-time computer vision system using YOLO11 to detect workers, track movement, and prevent forklift collisions in warehouse safety zones.
Ask hours of camera footage a question in plain English. You write the checks. Runs on a laptop, costs nothing.
Agentic vision AI for warehouse safety review, built on NVIDIA NIM. Nemotron VL perception + reasoning-VLM verification, with a public eval harness showing verification roughly doubles precision.
Warehouse safety AI that predicts forklift-pedestrian collisions before they happen. YOLOv11 → BoT-SORT → homography → custom-trained CNN (93% acc, Grad-CAM validated). Streamlit demo.
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