Videos

Brooke Williams, Business Manager in the Automotive ADAS Business Unit at Texas Instruments, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Williams demonstrates driver identification and monitoring from partner (and fellow Embedded Vision Alliance member) FotoNation, using TI’s TDA3 processor. Fotonation, an expert in computational imaging, […]

Deepak Poddar, ADAS Technical Lead at Texas Instruments, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Poddar demonstrates deep learning-based semantic segmentation using the company’s TDA2 processor. Observe deep learning-based semantic segmentation running on TI's neural network implementation on TDA SoCs and learn how the processor’s

Shashank Dabral from the Automotive Imaging & Vision Group at Texas Instruments demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Dabral demonstrates a camera monitoring system and LED flicker mitigation using TI’s TDA3 processor. See how an integrated image signal processor (ISP) can enable best-in-class camera

Vikram Appia from Texas Instruments' Perception and Analytics R&D Lab demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Appia demonstrates a mirror replacement system using the company's TDA3 processor. Experience a mirror-free panoramic viewing system using three cameras, one system-on-chip (SoC) and one display (3-1-1) based

Shashank Dabral from the Automotive Imaging & Vision Group at Texas Instruments demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Dabral demonstrates GPU-less 3D surround view using the company's TDA3 processor. Gain a new perspective and advantage for 3D surround view systems with a lower cost

Pulin Desai, Product Marketing Director at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Desai demonstrates a stereo camera algorithm called Semi Global Matching, developed by partner Uurmi Systems, demonstrating a depth map application and running in real time on a FPGA-based implementation of Cadence's

This video from Alliance member company MVTec explains how embedded architectures differ from typical setups in machine vision and shows how the full power of MVTec’s standard software HALCON can be brought to your embedded device, with HALCON Embedded.

Pulin Desai, Product Marketing Director at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Desai demonstrates partner Amalence's SuperSensor software implementation running on a FPGA-based implementation of Cadence's Vision P6 DSP core.

Pulin Desai, Product Marketing Director at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Desai demonstrates a fixed-point implementation of the well-known AlexNet Convolutional Neural Network (CNN) algorithm running on a FPGA-based implementation of the company's Vision P6 DSP core. The demonstration shows real-time object

Neil Robinson, Segment Marketing representative in the IP Group at Cadence, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Robinson demonstrates Microsoft's HoloLens, an untethered, battery-operated headset which needs to process its environment’s geography, track location and orientation, recognize gestures and voice commands and project the