The Sighthound solution is designed to provide personal safety messaging for platforms and providers that are bringing C-2VX and similar solutions to the market and need to fill in the gap on vulnerable road user activities. What does that mean? It means that our detection models can be trained to account for local and intersection-level lighting conditions, unique intersection geometries, and specific traffic patterns.Īs transportation agencies launch connected and autonomous vehicle projects, they have realized that having intelligent “eyes” on vulnerable road users is an important data set to help inform vehicles and drivers to make better safety decisions. We are able to train detection models at a “hyper-localized level” to help yield even higher accuracy results. Or allowing elderly or younger pedestrians to safely cross intersections or to modify midblock or intersection signage to warn drivers of upcoming pedestrian detection or to hold drivers from making turns into unsafe crossing zones.ĭeep neural network intelligence means detection accuracy rates that can reach over 95% in low-light and adverse weather conditions.
Edge computing with real-time connectivity to traffic signal controllers, blank-out signs and road-side signage means being able to implement safety countermeasures, such as extended crossing signal phases, in milliseconds. Our unique solution offering for transportation centers on our DNN Camera and DNN Node IoT devices, both of which add edge-computing and artificial intelligence to the “intersection” or other roadway locations. Fast deployments and pain-free integration means analytics are now available at a fraction of the cost to build smarter cities with smarter traffic flows. We replace the old ways of doing traffic analysis that are costly and manual, literally sending guys in trucks out to time intersections or analyze traffic patterns. Sighthound’s TrafficNET suite is designed to help transportation and traffic agencies, and their engineering and consulting partners capture and use pedestrian, bicycle/scooter, and multimodal traffic data from our video detection products to improve roadway and pedestrian safety. Sighthound builds privacy-centric AI computer vision technology solutions for a number of markets, including transportation.
Founded in 2013 with over fifty “hounds” worldwide, we have offices in Orlando, Florida, Boulder, Colorado, and Lisbon Portugal. We deliver complete hardware and solutions built on deep neural networks to deliver actionable, real-time intelligence and vehicle insights. Sighthound, Inc.’s mission is to turn sight into insight.
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