Watch the Lattice sensAI Solutions Stack Deliver Low Power Smart Vision to the Edge
Posted 07/10/2019 by Hussein Osman
As the old saying goes, “Seeing is believing.” And if you’ll forgive the pun, that really applies to technologies like smart vision. Sure, an engineer can read a spec sheet or technical paper and understand the use cases for low power smart vision in Edge devices. But product manuals and presentations loaded with specs don’t generate the same kind of inspiration that a live technology demonstration can.
This year’s Embedded Visions summit, hosted by the Embedded Vision Alliance, was a big event for Lattice and our sensAI solutions stack for enabling low power smart vision in Edge devices. At the event, we announced major enhancements to sensAI, including a 10x performance boost, a more robust user experience, a growing partner ecosystem, and new product demos. These demos were featured in our booth at the show, but in case you couldn’t attend, the Embedded Vision Alliance was on hand to capture the demos and is hosting them on their YouTube channel. Let’s take a look!
First up, an object detection demonstration showing how our sensAI stack, running on a Lattice ECP5 FPGA, can quickly identify specific coffee pods. Thanks to its low power and small form factor, a consumer electronics OEM cold easily add this reference design to an existing coffee maker product and turn it into a smart coffee maker.
https://www.youtube.com/watch?v=kq-2L3KIzYA&feature=youtu.be
Next we have an iCE40 UltraPlus FPGA running the sensAI stack to perform simple gesture detection. The iCE UltraPlus operates at very low power (less than 10 mA when active in most use cases), yet still provides enough performance to enable smart vision without the need to connect to the cloud for data analysis
https://www.youtube.com/watch?v=zdkZ-vd5Oaw&feature=youtu.be
Finally, let’s see what Edge AI can enable in an industrial environment. Here we have a smart industrial camera that can detect missing screws in products moving across an assembly line. The demo uses an ECP5 FPGA and the sensAI stack.
https://www.youtube.com/watch?v=SwsUw1p0Yp0&feature=youtu.be
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