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Streamlining Design-to-Manufacture for Imaging Devices Tutorial

In this tutorial, we introduce onsemi’s PRISM platform, a pre-optimized reference imaging solution that streamlines camera design by integrating sensors, optics, interfaces, and image processing. It explains how PRISM simplifies system integration through standardized modules, tuned ISP configurations, and validated performance testing using components like the AP1302 co-processor and Demo3 evaluation platform. The tutorial also highlights PRISM’s support for Hyperlux CMOS image sensors and its broad processor ecosystem compatibility.


February 11, 2026 by onsemi
Topics Covered
5 Main Components of a Vision System
Overview of a Camera Development Process
Selecting the Right Image Sensor for Your Application

Tutorial Overview 

This tutorial introduces onsemi’s Premier Reference Image Sensor Modules (PRISM), a pre-optimized imaging platform designed to accelerate camera development from concept to production. It addresses common challenges in imaging system design by providing a validated, modular foundation that integrates optics, image sensors, interfaces, image signal processing, and application processors. By eliminating early-stage trial-and-error, PRISM helps reduce development risk, cost, and time-to-market—often by several months.

The tutorial explains the core building blocks of a vision system and how PRISM simplifies their integration through standardized connectors, tuned ISP configurations, and ecosystem-compatible adapters. It details how PRISM streamlines critical steps such as lens sourcing and matching, ISP tuning, and sensor-to-processor connectivity using components like the AP1302 image co-processor and Demo3 evaluation platform.

Finally, the tutorial highlights onsemi’s Hyperlux SG, LP, and LH CMOS image sensor families and their alignment with PRISM for applications ranging from machine vision and robotics to security, automotive, and consumer devices. It showcases PRISM’s compatibility with major processor platforms, enabling rapid evaluation, software development, and scalable manufacturing.

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