Toronto company selling iVOD, iAID and iFlow, patented computer-vision products that count vehicle occupancy, detect road incidents and track people and vehicle flow for transportation and infrastructure operators.
Toronto company selling iVOD, iAID and iFlow, patented computer-vision products that count vehicle occupancy, detect road incidents and track people and vehicle flow for transportation and infrastructure operators.
Federal corporation 1010833-2 (Invision AI, Inc.), status Active, registered office at 2 Carlton Street, Suite 1510, Toronto, ON — the same address listed on its own site. ised-isde.canada.ca ↗
Toronto Transit Commission used Invision's technology to measure the passenger-flow impact of station improvements in three of TTC's busiest subway stations. invision.ai ↗
ATMB, operator of the Mont-Blanc Tunnel's A411 highway, measured an 85% drop in carpool-lane cheating and a 30% rise in HOV-lane use after deploying Invision's Vehicle Occupancy Detection. invision.ai ↗
Won the 2024 Mobility Award for Green Transportation for its Safety-Enabled Adaptive Lighting (SEAL) system, which pairs adaptive highway lighting with automatic incident detection. invision.ai ↗
Products Invision AI publishes on its own site. Each card links to the page it was taken from.
iVOD (Vehicle Occupancy Detection)
Vehicle occupancy detection
Company describes a patented solution that counts vehicle passengers fully automatically from a single roadside camera in all weather, using anonymized imagery and 3D reconstruction, deployable on any site in under two hours.
Company describes a patented, privacy-preserving AI system giving real-time, geo-localized incident alerts, detecting stopped vehicles, wrong-way drivers, pedestrians, animals and debris with under 0.03 false alarms per camera per day.
Company describes a patented, privacy-preserving AI video solution fusing multiple camera and sensor streams to give real-time 3D situational awareness of people, vehicles and objects across a monitored premises.
TTC used Invision's technology to compare station improvements by their effect on passenger flow in three busy subway stations; a Toronto intersection also runs its vehicle/pedestrian tracking.
Deployed Invision's Vehicle Occupancy Detection at a Swiss-French border carpool lane, cutting cheating by 85% and raising HOV-lane use by 30% over six months.
ATMB measured an 85% drop in carpool-lane cheating and a 30% increase in HOV-lane use over six months after deploying Invision's Vehicle Occupancy Detection at its A411 highway border crossing.
TTC used Invision's technology to compare station improvements by measuring their impact on passenger flow in three of TTC's busiest subway stations, and equipped a Toronto intersection with vehicle/pedestrian tracking.