You’ve probably heard it before: “Radar is the gold standard for accurate vehicle speed measurement.”
Fair point… until now.
At Currux Vision, we put our Gen3 edge AI vision system to the ultimate real-world test right in front of our Houston office. We had our teammate Rogelio drive through a calibrated detection zone at precise speeds while our fisheye camera system tracked him in real time — calculating speeds and firing off speeding notifications.
The results speak for themselves:
Watch the full live test here: 🔗 https://youtu.be/9dTMqF2G92s
We ran controlled passes at 5, 10, 15, 20, and 25 MPH using a production Wisenet fisheye camera mounted inside the office (not a perfect overhead view — a real-world oblique angle). Even with those challenges, the system delivered reliable performance after proper zone calibration.
This isn’t lab theory — it’s production hardware proving that vision-based systems can deliver radar-grade speed accuracy while also giving you rich visual context, lower costs, and easier deployment.
Key takeaway: The era of “cameras can’t do speed” is officially over. Currux Vision’s edge AI platform now combines best-in-class detection, tracking, classification, and speed estimation in one powerful solution.
If you're in traffic management, ITS, public safety, or smart cities and want safer, smarter roadways without compromising on accuracy — let’s talk.
👉 Curious about the full test details, calibration notes, or how this fits into your deployment? Drop a comment or send me a message.
#SmartTraffic #AI #ComputerVision #ITS #EdgeAI #TrafficSafety #CurruxVision
Fair point… until now.
At Currux Vision, we put our Gen3 edge AI vision system to the ultimate real-world test right in front of our Houston office. We had our teammate Rogelio drive through a calibrated detection zone at precise speeds while our fisheye camera system tracked him in real time — calculating speeds and firing off speeding notifications.
The results speak for themselves:
- Average speed deviation: just 1.4 mph (competitive with radar)
- Deviation stayed consistent even as speed increased
- 100% accurate speeding notifications — every single time
Watch the full live test here: 🔗 https://youtu.be/9dTMqF2G92s
We ran controlled passes at 5, 10, 15, 20, and 25 MPH using a production Wisenet fisheye camera mounted inside the office (not a perfect overhead view — a real-world oblique angle). Even with those challenges, the system delivered reliable performance after proper zone calibration.
This isn’t lab theory — it’s production hardware proving that vision-based systems can deliver radar-grade speed accuracy while also giving you rich visual context, lower costs, and easier deployment.
Key takeaway: The era of “cameras can’t do speed” is officially over. Currux Vision’s edge AI platform now combines best-in-class detection, tracking, classification, and speed estimation in one powerful solution.
If you're in traffic management, ITS, public safety, or smart cities and want safer, smarter roadways without compromising on accuracy — let’s talk.
👉 Curious about the full test details, calibration notes, or how this fits into your deployment? Drop a comment or send me a message.
#SmartTraffic #AI #ComputerVision #ITS #EdgeAI #TrafficSafety #CurruxVision