“A Very Low-power Human-machine Interface Using ToF Sensors and Embedded AI,” a Presentation from 7 Sensing Software

Di Ai, Machine Learning Engineer at 7 Sensing Software, presents the “Very Low-power Human-machine Interface Using ToF Sensors and Embedded AI” tutorial at the May 2023 Embedded Vision Summit.

Human-machine interaction is essential for smart devices. But growing needs for low power consumption and privacy pose challenges to developers of human-machine interfaces (HMIs). Time-of-flight (ToF) sensors can be a good match for these requirements. In this presentation, Ai shows how the combination of ams OSRAM’s ToF sensors and 7 Sensing Software’s embedded AI technology can be applied to create very low-power yet robust HMI solutions.

While the ToF sensors’ very low power consumption and low resolution are advantageous for battery life and privacy, they are constraints for developing accurate and robust sensing applications. Making ToF sensors smarter by using embedded AI is the key to overcoming these challenges. The highly efficient 7 Sensing Software AI algorithms are small enough to be embedded in microcontrollers such as those used in sensor hubs, and they have been deployed in gesture-based touchless user interfaces and in laptops for smart wake-up/leave-lock.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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