Jake Balelo@Sahur

This project demonstrates real-time edge AI video analytics on SiMa.ai Modalix hardware. It receives H.264 video over RTSP, decodes the stream, and runs a compiled YOLOv8n object-detection model on the Modalix MLA accelerator. The pipeline preserves a shared timeline between video and inference, ensuring detection metadata stays synchronized with the corresponding frames. Processed H.264 video and object-detection metadata are streamed to Neat Insight, where users can view live bounding boxes, COCO labels, confidence scores, and performance statistics in a browser. The application is configurable for model paths, source streams, thresholds, and Insight endpoints, and includes build, deployment, validation, and health-monitoring instructions for running the complete workflow on a Modalix DevKit.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.