On Semiconducter integrates image capture and depth mapping

On Semiconductor has released a new 1/3.2-inch backside illuminated (BSI) 4 megapixel (MP) CMOS digital image sensor which integrates delivery of image capture and depth mapping from a single sensor solution. Called AR0430, it is said to deliver 120 frames per second (fps) performance supporting slow-motion video in 4 MP mode. The sensor can be used in Internet of Things (IoT) applications including wearable devices, AR/VR products and security cameras. The sensor’s techniques, Colour Filter Array (CFA) an
June 26, 2018 Read time: 1 min

7914 On Semiconductor has released a new 1/3.2-inch backside illuminated (BSI) 4 megapixel (MP) CMOS digital image sensor which integrates delivery of image capture and depth mapping from a single sensor solution. Called AR0430, it is said to deliver 120 frames per second (fps) performance supporting slow-motion video in 4 MP mode. The sensor can be used in Internet of Things (IoT) applications including wearable devices, AR/VR products and security cameras.

The sensor’s techniques, Colour Filter Array (CFA) and the micro-lens, create a data stream containing both image and depth data. It is then combined via an algorithm to deliver a 30fps video stream and depth map of anything within one metre, enabling capabilities such as interpretation of hand gestures to control smart IoT devices plus the creation of 3D models for AR/VR use.

For more information on companies in this article

Related Content

  • Theia lights up detection – regardless of conditions
    March 30, 2023
    Lenses with excellent visible-NIR correction maintain high-resolution performance
    Read More
  • Bluetooth and Wi-Fi offer new options for travel time measurements
    November 20, 2013
    New trials show Bluetooth and Wi-Fi signals can be reliably used for measuring travel times and at a lower cost than an ANPR system, but which is the better proposition depends on many factors. Measuring travel times has traditionally relied automatic number plate (or licence plate) recognition (ANPR/ALPR) cameras capturing the progress of vehicles travelling along a pre-defined route. Such systems also have the benefit of being able to count passing traffic and have become a vital tool in dealing with c
    Read More
  • Selecting the right camera for safety or security
    January 30, 2012
    Machine vision systems offer great variety of function and performance. Teledyne DALSA product manager Manuel Romero describes 10 key criteria to aid selection of advanced camera technology for safety or security applications. There are many ways in which machine vision systems can enhance safety and security in transportation, but the ultimate results will only be as good as the image produced. Success relies on correct selection of the camera of such systems, as the features and performance required vary
    Read More
  • Polarised imaging gives enforcement clarity
    February 6, 2020
    Polarised imaging advances have finally allowed ITS technology to catch up with previously unenforceable international bans on smoking in cars, says Sony’s Stephane Clauss
    Read More

Highlighted Content