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.
VAST Builders Challenge: Scribner warehouse safety andon board detects near-miss hazards using Cosmos captions, YOLO11 detections, Embed1 semantic search on CoreWeave GPUs. Kubernetes deployment with live video, operator review, W&B retraining. https://luma.com/vastsf
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Real-time computer vision system using YOLO11 to detect workers, track movement, and prevent forklift collisions in warehouse safety zones.
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A webcam and printed ArUco markers estimate how likely a stack of boxes is to fall before the next box goes on. OpenCV 5 builds a digital twin, MuJoCo runs a Monte Carlo simulation on AWS Lambda, and an agent says place it, ask, or move it.
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.
Find forklift close calls in warehouse CCTV, check each one with a local vision-language model, and hand over an evidence-linked report. Built for ASUS UGen300 (Hailo-10H).
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.
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