Sensagrate
Sensagrate developed a state-of-the-art platform that improves travel safety and times in urban areas by optimizing traffic flow, reducing traffic, and decreasing fatalities.
About Us
Sensagrate’s state-of-the-art perception software processes LiDAR, camera, and radar sensor data into unique data outputs. The perception data improves traffic operations and management, transportation safety, and mobility applications. Combining all sensor outputs in a process called sensor fusion provides an accuracy rating of object detection, tracking, and event management identification of over 98%. Our detection range is up to 300 meters, with nighttime detection and in all adverse weather conditions. The SensaVision computer vision perception software provides object detection, recognition, classification, and tracking of vehicles, pedestrians, cyclists, and e-scooters. SensaVision EDGE is a secure IoT device with NEMA certification embedded with the SensaVision computer vision software of LiDAR, camera, and radar. The device is connected to a 4G/LTE network and can securely connect to local network connections, sending real-time roadway traffic and safety data to the SensaVision web application and providing safety notifications.
Relevant Challenges
Network Infrastructure
SensaVision’s Infrastructure-to-Vehicle (I2V) communications detect scenarios and risks from the infrastructure from vehicle collision avoidance, lane closures, driver blind spot detection, wrong way drivers, and pedestrian safety messages.
Traffic Optimization
We collect data at intersections, beyond intersections, mid-block, highways, arterial corridors, parking lots, and other locations to provide viable and unique data to assess and understand specifics from lane details include multiple lane counts, queue length with start and end times, speed, vulnerable road user crossing events at the intersection, beyond, bike lane usage, wrong-way driving, near-miss collision analysis, and turning movement violations.
Vehicle & Infrastructure Monitoring
Identifies and detects the movement of pedestrians, vehicles, e-scooters, and cyclists to identify the tracking and near-miss collision and collisions between vehicles and pedestrians.
