Toshiba Develops DNN Hardware IP for Image Recognition AI Processor Visconti 5 for Automotive Driver Assistance Systems
January 7, 2019 -- TOKYO -- Toshiba Electronic Devices & Storage Corporation (“Toshiba”) today announced the development of Deep Neural Network (DNN) hardware IP that will help to realize advanced driver assistance systems (ADAS) and autonomous driving functions. The company will integrate the DNN hardware IP with conventional image processing technology and start sample shipments of Visconti™5, the next generation of Toshiba’s image-recognition processor, in September 2019.
The DNN hardware IP draws on deep learning to deliver more accurate detection and identification of a wider range of objects than image recognition based on conventional pattern recognition and machine learning. It enables Visconti™5 to recognize road traffic signs and road situations at high speed with low power consumption.
Toshiba will promote Visconti™5 equipped with DNN hardware IP as a key component of next-generation advanced driver assistance systems.
Advanced driver assistance systems such as autonomous emergency braking are now being widely adopted, from luxury cars to subcompacts. They are also expected to offer increasingly advanced capabilities - for instance, the 2020 version of the influential European New Car Assessment Programme (Euro NCAP), the EU-backed safety standard, adds testing to avoid collisions at intersections. This trend will increase the demand for more advanced and capable systems.
Toshiba Electronic Devices & Storage Corporation will continue to develop the Visconti™ family and contribute to traffic safety.
Outline of Visconti™5
Product Series Name | TMPV770 series |
---|---|
CPU core | Arm® Cortex®-A53 |
Arm® Cortex®-R4 processor with Floating Point Unit | |
Image processing DSP | General DSP |
Image Processing Accelerator | Affine conversion |
Pyramid Image Generator | |
Enhanced CoHOG Feature-based Support Vector Machine | |
Dense Optical Flow | |
Template Matching | |
Dense Stereo Matching | |
Deep Neural Network | |
Image Signal Processor | |
Video input interface | MIPI CSI-2 RX |
Video output interface | MIPI CSI-2 TX |
|
Related News
- Arm introduces new automotive image signal processor to advance adoption of driver assistance and automation technologies
- OmniVision Announces World's First Dedicated Driver Monitoring System ASIC With Integrated AI Neural Processing Unit, Image Signal Processor and DDR3 Memory
- VeriSilicon VIP9000 and ZSP are Adopted by iCatch Next Generation AI-powered Automotive Image Processing SoC
- Toshiba Selects Cadence Tensilica Vision P6 DSP as Image Recognition Processor for its Next-Generation ADAS Chip
- BrainChip Unveils Edge AI Box Partner Ecosystem for Gestures, Cybersecurity, Image Recognition, and Computer Vision
Breaking News
- intoPIX Powers Ikegami's New IPX-100 with JPEG XS for Seamless & Low-Latency IP Production
- Tower Semiconductor and Alcyon Photonics Announce Collaboration to Accelerate Integrated Photonics Innovation
- Qualcomm initiates global anti-trust complaint about Arm
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- SiliconIntervention Announces Availability of Silicon Based Fractal-D Audio Amplifier Evaluation Board
Most Popular
- Qualcomm initiates global anti-trust complaint about Arm
- Siemens acquires Altair to create most complete AI-powered portfolio of industrial software
- Alphawave Semi Reveals Suite of Optoelectronics Silicon Products addressing Hyperscaler Datacenter and AI Interconnect Market
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- Rapidus Announces Strategic Partnership with Quest Global to Enable Advanced 2nm Solutions for the AI Chip Era
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |