OpenCV opens $400,000 contest to solve real-world problems with spatial AI


At some level within the not-too-distant future, pairing depth-sensing cameras with synthetic intelligence will allow computer systems to actually perceive the bodily world — a imaginative and prescient that researchers and corporations have spent years working to rework into actuality. Today, open supply laptop imaginative and prescient library OpenCV introduced that it’s celebrating its twentieth anniversary with a world competitors designed to spur sensible improvements in spatial AI, and can award each 1,200 depth sensing cameras and money prizes to assist entrants prototype their initiatives.

Backed by Intel and Microsoft Azure, the OpenCV AI Competition consists of two phases: Phase 1 requires a crew to establish a real-world AI drawback that may be solved over a three-month interval with OpenCV’s newest neural inference depth digicam, OAK-D. In Phase 2, every of the highest 210 groups will obtain both 4 or 10 OAK-D cameras, in addition to 100 hours of free Azure NC6 processing time, entry to Intel’s Dev Cloud, and OpenCV Slack help, all for the aim of really fixing the recognized AI drawback. OpenCV will award $5,000-$20,000 prizes to the highest three initiatives globally, plus three $2,000-$5,000 regional prizes throughout every of six competitors areas, and $2,000 regional widespread vote prizes.

The OpenCV competitors is important for technical choice makers as a result of it provides enterprise and academic groups the chance to develop sensible laptop imaginative and prescient functions with {hardware}, software program, and doubtlessly financial help from a number of of the CV trade’s most outstanding organizations. For many groups, the competitors will supply sufficient OAK-D {hardware} and Azure service to get a whole analysis group up and operating on growing spatial AI options, with the prospect of profitable a money reward for notably spectacular outcomes. Consequently, there could be a contest-inspired burst of extremely sensible laptop imaginative and prescient functions overlaying a number of geographies and industries.

OpenCV has recognized six key venture classes for the competitors — visually impaired help, training, well being and health, agriculture, COVID, and robotics — plus a catchall “miscellaneous” class for apps that don’t match the opposite classes. The purpose is to encourage ethically acceptable, non-discriminatory options throughout these classes, following TensorFlow’s and Microsoft’s responsible AI pointers.

OAK-D combines a 12-megapixel RGB digicam with a stereo depth engine containing hardware-accelerated AI and laptop imaginative and prescient processors. The 4K digicam runs at 30 frames per second with out consuming processing time from the host laptop’s CPU, capturing and processing spatial knowledge that may increase Intel’s OpenVINO deep studying fashions. It’s able to figuring out objects and folks in actual time, subtracting backgrounds, and estimating movement, in addition to supporting pose estimation and semantic segmentation; H265 video can be exported for simple visualization and evaluation.

Timing is the competitors’s solely main hitch. Although OpenCV’s publicity marketing campaign started right now, the occasion’s Phase 1 submission deadline is developing in a short time — January 27 — which signifies that except the timeline for submissions is prolonged, groups will want to get their proposals collectively straight away. OpenCV plans to choose Phase 2 finalist groups on February 11, with a June 27 deadline for venture completion, and winner choice by July 12. Teams serious about signing up can achieve this right here.


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