Brinq Traq Software Improves Accuracy of Vision Based Object Tracking on Edge Devices Arcturus (Arcturus Networks Inc., Toronto) released its Multiple Object Tracking (MOT) benchmark numbers today. Arcturus reported that its Brinq Traq (BQTQ) software achieved a MOTA benchmark score of 77.2 for MOT16 and 77.7 for MOT17 challenges. The …

Elektroniktidningen publishes a technical paper on the NXP Machine Learning platform. Written by Ali Osman Örs, AI Strategist from NXP Semiconductors and David Steele, ML Product Manager from Arcturus (Arcturus Networks Inc., Toronto). https://etn.se/images/expert/NXP_ML-plattform.pdf

2D and 3D Road Surface Analysis Using Brinq™ Arcturus (Arcturus Networks Inc., Toronto) has released a video demonstrating the use of it’s Brinq technology. Image turning every municipal transit vehicle into a road surface analysis tool. The example video makes used of stereoscopic RGB+Depth (RGBD) cameras. This provides 2D qualitative …

ARM is hosting an AI Tech Talk on bringing edge AI to life – from concept to production presented by experts at NXP and Arcturus (Arcturus Networks Inc., Toronto) When developing an edge AI/ML application, navigating proof-of-concept to production is tough. Gaining intelligence from multiple models and algorithms running concurrently …

Smart cities move millions of people every day and they do it by relying on Intelligent Transportation Systems (ITS). This ARM hosted AI Tech Talk brings together a powerhouse team including NXP, Arcturus and Clever Devices, North America’s largest ITS solution provider. The session focuses on edge and AI in …

AI webinar from Arcturus (Arcturus Networks Inc., Toronto) introducing key features and capabilities of Arcturus vision and AI at the edge. The webinar is presented by David Steele, Harshad Mahadik and Jonathan Rynne from Arcturus. The content includes introduction to key concepts, performance and detection analytics. An overview of the …