Industrial AI & MACHINE LEARNING
 

Friday 1/10

 
The i.MX 8M Plus combines an NPU delivering 2.3 TOPS (Tera Operations Per Second) with a Quad-core Arm Cortex-A53 sub-system running at up to 2GHz, an independent real-time sub-system with an 800MHz Cortex-M7, a 800 MHz audio DSP for voice and natural language processing, dual camera Image Signal Processors (ISP), and a 3D GPU.
 
 
The depth sensor time-of-flight technology enables an accurate 3D image of faces, hand details, or objects. The chip also provides additional options for photos, with enhanced autofocus, bokeh effect for photo and video, and improved resolution in poor lighting conditions.
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After applying advanced algorithms, SenslinQ creates context enablers such as activity classification, voice and sound detection, and presence and proximity detection. These context enablers can then be fused on-device or otherwise sent wirelessly (Bluetooth, Wi-Fi, NB-IoT) to a local edge computer or the cloud.
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The NanoVision demo kit for the NanEyeC is based on an Arduino development platform, and includes all necessary drivers to interface the sensor?s Single-Ended Interface Mode output to an Arm Cortex-M7 microcontroller.
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A short while ago, I wrote about Achonix pushing into the very high-speed FPGA space, with its Speedster7t launch. As you might expect, the next announcement comes from a board vendor who is taking advantage of those ICs.
 
 

 
 
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