iCatch Technology, a leading Taiwan-based AI image processing IC design company, announces its innovative CR3 automotive image processing SoC for smart cockpit and in-cabin sensing applications. The company provides comprehensive hardware and software solutions that enable in-cabin sensing applications like driver monitoring system (DMS) and occupant monitoring systems (OMS). With the company’s proprietary image processing pipeline, computer vision DSP and AI neural processing unit all integrated into one single chip, OEM and Tier-1s are able to realize camera-based in-cabin sensing solutions at the edge with improved latency and privacy protection.
iCatch Technology will be attending the 2023 Autosens In-cabin at Phoenix, Arizona, from March 15 to 17, 2023. The event serves as a platform to demonstrate the latest in-cabin technology and discuss the future advancement of smart cockpit. At the event, iCatch Technology will showcase several demos, including an event-based driver monitoring system that tracks a driver’s gaze, head pose, and drowsiness. An RGBIR occupant monitoring solution which utilizes the RGB and IR video streams simultaneously for human viewing and machine vision will also be shown.
As an important participant in Autosens In-cabin Phoenix, iCatch Technology will have a booth at the event where attendees will be able to experience its advanced AI image processing solutions. Additionally, a machine learning expert of iCatch Technology will participate as a conference speaker to discuss the use of event-based sensors for enhancing driving safety and preserving privacy in smart cockpit applications. iCatch Technology is committed to providing cutting-edge imaging solutions for smarter, safer, and better connected vehicles, and contributing more innovations in this rapidly-evolving field.
- Topic: Emerging Event-based Sensor Technology Enhances Driving Safety and Privacy in Smart Cockpit
- Schedule: 4:40pm MDT on March 16th, 2023
- Venue: SCOTTSDALE CENTER FOR THE PERFORMING ARTS
- Speaker: Kai-Chun Wang (Machine Learning Engineer, iCatch Technology)