Toshiba will continue to enhance the power efficiency and processing speed of the developed SoC and will start sample shipments of ‘Visconti 5’, the next generation of Toshiba’s image-recognition processor.
26 Feb 2019 | 11239 Views | By Autocar Pro News Desk
Toshiba Electronic Devices and Storage Corporation (‘Toshiba’) has developed an image recognition SoC (System on Chip) for automotive applications that implements deep learning accelerator at 10 times the speed and 4 times the power efficiency of Toshiba’s previous product.
Advanced driver assistance systems (ADAS), such as autonomous emergency braking, offer increasingly advanced capabilities, and implementing them requires image recognition SoC that can recognise road traffic signs and road situations at high speed with low power consumption.
Toshiba: DNN Accelerator
Deep neural networks (DNN), algorithms modeled after the neural networks of the brain, perform recognition processing much more accurately than conventional pattern recognition and machine learning, and are widely expected to find utilization in automotive applications. However, DNN-based image recognition with conventional processors takes time, as it relies on a huge number of multiply-accumulate (MAC) calculations. DNN with conventional high-speed processors also consumes too much power. Toshiba has overcome this with a DNN accelerator that implements deep learning in hardware. It has three features.
The new SoC is said to comply with ISO26262, the global standard for functional safety for automotive applications.
Toshiba will continue to enhance the power efficiency and processing speed of the developed SoC and will start sample shipments of ‘Visconti 5’, the next generation of Toshiba’s image-recognition processor, in September this year.