On March 30, 2021 at 9 am PT (noon ET), Marc Courtemanche, Product Architect at Algolux, will present the free half-hour webinar “Optimizing a Camera ISP to Automatically Improve Computer Vision Accuracy,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page:
Cameras are the most ubiquitous sensor used for both display and computer vision in ADAS and autonomous vehicle designs. Typical applications include surround-view, object detection for collision warning and automatic emergency braking, and traffic light and sign recognition. To achieve subjectively “good” image quality (IQ), the camera’s image signal processor (ISP) parameters must be tuned for each specific lens / sensor configuration by experienced imaging engineers, typically over many months.
For computer vision (CV), however, good visual IQ isn’t necessarily what’s needed for specific CV algorithms. In this session, Algolux’s Marc Courtemanche will describe and demonstrate how to use a breakthrough workflow to automatically optimize an ISP to maximize computer vision accuracy in only days. Easy to access and deploy, the workflow can improve CV results by up to 25 mAP points while reducing time and effort by more than 10x versus alternative expert manual tuning approaches. A question-and-answer session will follow the presentation.