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FROM A MAINLAND CHINA Automotive Lovers Magazine:
Comparison of Love Cars
Focussing on self-driving BrainChip works with NVISO
Clz1232022-05-21 [Comparison of favourite cars] 15 people have gathered around
[Information] According to foreign media reports, BrainChip, a commercial manufacturer of neural AI IP and chips, announced that it has reached a cooperation with nViso SA (NVISO), an AI company for human behaviour analysis, to focus on battery power applications in the field of robotics and mobile travel/automatic driving. To meet the needs of high-level artificial intelligence performance using ultra-low power consumption technology. In the initial stage of cooperation, the two sides will apply NVISO's AI solution to BrainChip's Akida processor for social robots and in-vehicle monitoring systems.
Developers of automotive and consumer technologies are working hard to develop devices that can better respond to human behaviour, so tools and applications are needed to explain human behaviour captured from cameras and sensors on devices. However, these environments may be limited by limited computing performance, power consumption and cloud connection failures. With high performance and ultra-low power consumption (micro to milliwatts), as well as AI/ML processing of visual/image, motion and sound data directly on the device rather than in the remote cloud, Akida can deal with the above problems. Because information is not sent outside the device, the privacy and security of users are also protected.
NVISO technology can analyse the signals of human behaviour, such as facial expressions, emotions, identity, head posture, gaze, gestures, activities and objects that interact with users. In robotics and on-board applications, human behaviour analysis can detect the emotional state of users to provide personalised, adaptive, interactive and safe devices and systems. The results of the cooperation between NVISO and BrainChip are expected to achieve more advanced, powerful and accurate artificial intelligence in consumer products.
Tim Llewellynn, CEO of NVISO, said: "This cooperation will meet the demanding power/cost/performance needs of AI by OEMs. Even in the case of mass production and scale, OEMs can benefit from faster and more efficient development cycles. Edge-based ultra-low-power consumer processing is expected to provide a smarter and more personalised user experience, and we believe that AI solutions running our social robots and in-vehicle monitoring systems on Akida will provide a competitive advantage for common customers to meet their requirements such as low-power budgets and continuous functions. ."
Sean Hehir, CEO of BrainChip, said: "NVISO's human behaviour analysis AI system can provide more possibilities for homes, cars, buildings, hospitals, etc. We are keen to realise the above functions through BrainChip's processing performance and energy efficiency. This cooperation will promote the development of artificial intelligence through the edge AI device platform, so as to explain human behaviour and improve product performance and user experience. ( Compilation/Zhou Yi)
Comparison of Love Cars
Focussing on self-driving BrainChip works with NVISO
Clz1232022-05-21 [Comparison of favourite cars] 15 people have gathered around
[Information] According to foreign media reports, BrainChip, a commercial manufacturer of neural AI IP and chips, announced that it has reached a cooperation with nViso SA (NVISO), an AI company for human behaviour analysis, to focus on battery power applications in the field of robotics and mobile travel/automatic driving. To meet the needs of high-level artificial intelligence performance using ultra-low power consumption technology. In the initial stage of cooperation, the two sides will apply NVISO's AI solution to BrainChip's Akida processor for social robots and in-vehicle monitoring systems.
Developers of automotive and consumer technologies are working hard to develop devices that can better respond to human behaviour, so tools and applications are needed to explain human behaviour captured from cameras and sensors on devices. However, these environments may be limited by limited computing performance, power consumption and cloud connection failures. With high performance and ultra-low power consumption (micro to milliwatts), as well as AI/ML processing of visual/image, motion and sound data directly on the device rather than in the remote cloud, Akida can deal with the above problems. Because information is not sent outside the device, the privacy and security of users are also protected.
NVISO technology can analyse the signals of human behaviour, such as facial expressions, emotions, identity, head posture, gaze, gestures, activities and objects that interact with users. In robotics and on-board applications, human behaviour analysis can detect the emotional state of users to provide personalised, adaptive, interactive and safe devices and systems. The results of the cooperation between NVISO and BrainChip are expected to achieve more advanced, powerful and accurate artificial intelligence in consumer products.
Tim Llewellynn, CEO of NVISO, said: "This cooperation will meet the demanding power/cost/performance needs of AI by OEMs. Even in the case of mass production and scale, OEMs can benefit from faster and more efficient development cycles. Edge-based ultra-low-power consumer processing is expected to provide a smarter and more personalised user experience, and we believe that AI solutions running our social robots and in-vehicle monitoring systems on Akida will provide a competitive advantage for common customers to meet their requirements such as low-power budgets and continuous functions. ."
Sean Hehir, CEO of BrainChip, said: "NVISO's human behaviour analysis AI system can provide more possibilities for homes, cars, buildings, hospitals, etc. We are keen to realise the above functions through BrainChip's processing performance and energy efficiency. This cooperation will promote the development of artificial intelligence through the edge AI device platform, so as to explain human behaviour and improve product performance and user experience. ( Compilation/Zhou Yi)