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
- Dream Chip Technologies tapes out a 10-TOPS SoC in 22nm with a novel AI Accelerator and an Automotive Functional Safety Processor
Breaking News
- China's Intel, AMD Ban Helps Local Rivals, Analysts Say
- PUFsecurity Unveils Next-Gen Crypto Coprocessor PUFcc7 Featuring High-speed Performance and TLS 1.3 Support
- SEMIFIVE Starts Mass Production of its 14nm AI Inference SoC Platform based Product
- VeriSilicon's complete Bluetooth Low Energy IP solution is fully compliant with LE Audio specification
- TASKING and Andes Announce FuSa Compliant Compiler Support for Andes RISC-V ASIL Compliant Automotive IP
Most Popular
- Intel and Arm Team Up to Power Startups
- Chiplet Interconnect Pioneer Eliyan Closes $60 Million Series B Funding Round, Co-led by Samsung Catalyst Fund and Tiger Global Management to Address Most Pressing Challenge in Development of Generative AI Chips
- PUFsecurity Unveils Next-Gen Crypto Coprocessor PUFcc7 Featuring High-speed Performance and TLS 1.3 Support
- Renesas Introduces Industry's First General-Purpose 32-bit RISC-V MCUs with Internally Developed CPU Core
- SmartSoC Solutions Joins TSMC Design Center Alliance to Boost Semiconductor Innovation in India
E-mail This Article | Printer-Friendly Page |