innovation for industry
Called µWAI (micro-WAY) and sized as small as a 1€ coin, the autonomous imager features a novel readout and processing architecture co-designed with an optimized algorithmic pipeline, in which the recognition results from a sequence of elementary algorithms, to provide ultralow-power wake-up modes and compact silicon implementation to keep costs down.
It is the first smart image sensor jointly featuring auto-exposure for all lighting conditions and 88dB dynamic range, as well as motion detection and feature extraction for event-based functioning, and AI-based object recognition that triggers highly reliable identification. These key features also enable highly reliable decision taking for a few tens of pJ/pixel/frame, which outperforms existing off-the-shelf systems. The pJ/pixel/frame measures the energy spent by each pixel for each single image within a frame of images. A typical implementation requires about 10,000 times more energy than µWAI.
The autonomous imager is the world's first highly efficient, compact and ultralow-power, smart-awaken system designed for everyday small appliances. It also includes:
The recognition engine is optimized to recognize faces when movement is detected. CEA-Leti's team is working hand-in-hand with STMicroelectronics to develop specific smart-imager products as we consider extending the technology to other use cases, said Antoine Dupret, CEA-Leti's industrial partnership manager. We target adapting the recognition engine as IP embedded in various cameras and optimizing the performance of the imager to the requirements of our partner's customers.
CEA is a French government-funded technological research organisation in four main areas: low-carbon energies, defense and security, information technologies and health technologies. A prominent player in the European Research Area, it is involved in setting up collaborative projects with many partners around the world.