“AI-ISP: Adding Real-time AI Functionality to Image Signal Processing with Reduced Memory Footprint and Processing Latency,” a Presentation from VeriSilicon

Mankit Lo, Chief Architect for NPU IP Development at VeriSilicon, presents the “AI-ISP: Adding Real-time AI Functionality to Image Signal Processing with Reduced Memory Footprint and Processing Latency” tutorial at the May 2023 Embedded Vision Summit.

The AI-ISP IP product from VeriSilicon is a revolutionary solution that adds AI functionality to image signal processing (ISP) while reducing the memory footprint and processing latency. Unlike conventional approaches that require the entire image frame to be stored in memory before processing, the AI-ISP enables real-time AI-based processing of image data with reduced memory usage and processing latency. This approach results in improved image quality and reduced system overhead, making it ideal for a variety of applications, including surveillance, automotive and industrial imaging.

In this presentation, Lo provides an overview of the AI-ISP product and its key features, and discusses its benefits and potential use cases. He also shares his company’s experience of integrating AI-ISP into its customers’ products and highlights the results obtained from real-world applications.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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