@usman_waris179

Robots and self-driving machines need absolute certainty about their surroundings before they make a move. Our project acts as a real-time safety checkpoint for these autonomous systems. Instead of relying on a single point of failure, it constantly compares live data from multiple different sensors, including cameras, depth monitors, and lasers. Think of it as a team of spotters double-checking each other's work. ​If one sensor gets blinded by a glare, gets covered in dirt, or suddenly starts giving bad readings, our system catches the error immediately. It overrides the confused sensor, raises a high-risk warning, and completely stops the machine from making a dangerous physical movement. To show this in action, we built a live web dashboard. During our demonstration, viewers can use a slider to manually break a sensor reading on purpose. You can watch our system instantly spot the outlier, sound the alarm, and hit the brakes in real-time, proving that the machine only moves when it is objectively safe.

🌎 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.