COM-IoT's Total Road Control (TRC) is a LiDAR-based traffic AI system engineered to deliver ZERO FALSE POSITIVESin speed enforcement, license-plate recognition, vehicle counting, and road-flow analytics. Certified by Dubai Silicon Oasis with "the absence of false positives and outstanding performance" and confirmed by the Al Ain University after a parallel deployment.
LiDAR measures every vehicle's exact position, speed, and dimensions in 3D — independent of weather, lighting, or camera angle. No more glare-induced misreads.
High-resolution cameras capture license-plate imagery, then AI character recognition runs against the LiDAR-confirmed vehicle. False plate matches from motion blur or partial visibility are filtered out.
Every enforcement event is cross-verified across LiDAR position, camera capture, and AI classification before being recorded. Result: 0% false positives certified at DSO and Al Ain University.
Direct quotes from the engineers who certified TRC's zero false positives in production.
"The POC successfully demonstrated **vehicle detection accuracy, real-time data transmission, and integration with existing traffic infrastructure** — results have been forwarded for inclusion in the **RTA Traffic Infrastructure Manual**." — ITS Department, RTA (Roads and Transport Authority), following the TIC LiDAR-based traffic monitoring POC at J1428, Dubai.
RTA - UAE
“This certificate acknowledges the successful completion of the project with remarkable results, characterized by the **absence of false positives and outstanding performance**” — Dr. H. E. AI - Professor at United Arab Emirates University.
Al Ain University
"COM-IoT's Technologies LiDAR system demonstrated **successful and flawless performance** during a PoC demonstration," stated a letter from the ITS department at RTA (Roads and Transport Authority) after finishing the PoC for our **Total Intersection Control** solution.
Dubai - RTA
COM-IoT fields two LiDAR-based traffic AI products built for zero false positives: Total Road Control (TRC) for highways and road corridors, and Total Intersection Control (TIC) for smart intersections — where vehicles and pedestrians must be tracked simultaneously. Dubai Silicon Oasis (DSO) certified TRC with 'the absence of false positives and outstanding performance,' and Al Ain University confirmed the same after an independent parallel deployment.
Camera-only traffic systems mis-classify vehicles in rain, fog, glare, shadow, and low-light conditions because they rely on 2D image features that are sensitive to lighting. LiDAR provides precise 3D spatial data independent of lighting — distance, speed, and object dimensions are measured directly. TRC layers AI classification on top of LiDAR + camera fusion, so identity is confirmed before any enforcement event is recorded.
TRC is currently deployed at Dubai Silicon Oasis (DSO), which certified its absence of false positives and outstanding performance. It was also previously deployed at Al Ain University and other sites, each of which independently confirmed the same results. TRC is suitable for highways, intersections, urban thoroughfares, and any traffic-AI use case requiring high detection accuracy.
Yes. TRC combines LiDAR-confirmed vehicle position and dimensions with high-resolution camera capture, then runs AI character recognition on the captured plate. Because LiDAR confirms the vehicle exists at the captured time and location, false plate matches from glare, motion blur, or partial visibility are filtered out before any record is issued.
Total Intersection Control (TIC) is COM-IoT's LiDAR + AI platform purpose-built for smart intersections. It shares TRC's zero-false-positive architecture but extends detection to both vehicles and pedestrians — tracking every road user at the intersection simultaneously. TIC is suited for intersection traffic management, pedestrian safety enforcement, and mixed road-user analytics where camera-only classification is error-prone.
Explore the full TRC capability set, or contact us to discuss a deployment at your road, intersection, or smart-city site.