“The pretrained NVIDIA models helped us to get great accuracy for our traffic models and go to market faster. Cutting development time to just a few weeks, it delivered a traffic safety solution to the City of Denver that automatically detects, counts, and measures speed and tracks pedestrian, bicycle, and vehicles occupancy. It also refined the performance and accuracy of the platform. They leverage the powerful capabilities of the embedded NVIDIA® Jetson™ edge AI platform-which provides GPU-accelerated computing in a compact and energy-efficient module-that powers DNN cameras and nodes.Ĭombining its industry-leading proprietary developed traffic data set with the pretrained TrafficCamNet model from NGC, and the NVIDIA TAO Toolkit, Sighthound fast tracked the AI development pipeline. Sighthound’s primary goal in the highly competitive AI landscape focuses on using the most advanced tools along with a full-stack approach to achieve faster time-to-market compute-optimized solutions. A Competitive Advantage for Livability and Safety Sighthound builds edge-enabled, roadway-focused products that deliver data to cities for applications that protect pedestrians in intersections, quantify parking occupancy, and analyze highway utilization.
To design efficient, equitable, and sustainable infrastructure, city planners rely on accurate roadway usage data. NVIDIA Metropolis partner Sighthound-formerly Boulder AI-is helping cities improve traffic management and pedestrian safety with software and hardware solutions to bring cloud-native solutions for edge data intelligence.