megaAI 4K AI Camera Board Features Movidius Myriad X VPU (Crowdfunding)

megaAI 4K AI camera board reminds me of Kendryte K210 based boards such as Maixduino used for computer vision for tasks such as object tracking or face recognition, but instead of just handling QVGA at around 15 to 18 fps, megaAI can supports inference at 4K resolution up to 30 fps. The tiny board can achieve this feat by leveraging the 4 TOPS of AI processing power delivered by Intel Movidius Myriad X VPU (Vision Processing Unit) while consuming only around 2.5 Watts. megaAI board specifications: AI Accelerator – Intel Movidius Myriad X VPU delivering up to 4 TOPS (Trillion Operations Per Second) Camera – 12 MP 4056×3040 Auto-Focus (8cm-∞) camera with 81 degrees  horizontal Field of View (HFOV) Video RAW Output – 4K @ 60FPS or 12MP @ 30FPS (with USB3.1 Gen2 Host) Hardware Image Encoding – 12 MP JPEG encoding Hardware Video Encoding: 4K H.265 encoding at 30 FPS Host Interface – USB 3.1 Type-C port (5 Gbps) …

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ADLink Launches Vizi-AI Development Starter Kit for Industrial Machine Vision & Artificial Intelligence

ADLINK has recently launched Vizi-AI development starter kit for industrial machine vision and artificial intelligence (AI) at the edge in collaboration with Intel and Arrow Electronics. Vizi-AI is comprised of a carrier board that looks to be the same as used in the company’s I-Pi SMARC development kit equipped with an Intel Movidius Myriad X VPU and combined with LEC-AL Intel Atom Apollo Lake SMARC computer module. Vizi-AI SBC Let’s have a look at the hardware features and specifications of Vizi-AI SBC (aka VIZI-AI LEC-AL-E3940-AI-4G-32G): SoC – Intel Atom x5-E3940 quad-core Apollo Lake-I processor @ up to 1.6 / 1.8 GHz (Turbo) with 12EU Intel HD Graphics 500; 9.5W TDP System Memory – 4GB LPDDR4 (Option up to 8GB) Storage – 1x MicroSD card slot AI Accelerator – Intel Movidius Myriad-X VPU (Vision Processing Unit) Video – 1x HDMI port, single-channel LVDS/eDP interface via flat cable Audio – On-carrier audio codec; stereo audio jack; digital audio via HDMI Networking –  …

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Gen 3 Intel Movidius “Keem Bay” VPU Introduced at 2019 Intel AI Summit

Intel Movidius Keem Bay VPU

Intel made announcements about upcoming AI solutions at 2019 Intel AI Summit. Those include Intel Nervana Neural Network Processors (NNP) for training (NNP-T1000) and inference (NNP-I1000) for cloud and data center customers, as well as Gen 3 Intel Movidis “Keem Bay” VPU. We’ll focus on the latter in this post with Intel claiming similar performance as NVIDIA Jetson AGX Xavier at much lower power consumption with claims of up to 4.7 times more power efficiency when using ResNet-50 benchmark inference measurement using INT8 with a batch size of 1. Considering Jetson Xavier AGX has a ~30W power budget, that would mean Movidius “Keem Bay” consumes around 6 Watts.  Compared to Myriad X MA2085, the new Gen3 VPU is said to have more than 10 times the inference performance. Intel did not provide any TOPS figure, but considering the company announced 1 TOPS of neural compute performance for Myriad X, one may expect Keem Bay to deliver 10 TOPS. The higher …

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Atomic Pi x86 SBC Meets Intel Neural Compute Stick 2 in $99 Neural Computing DevKit (Crowdfunding)

Atomic Pi Neural Computing Development Kit

IoT Team launched the $34 Atomic Pi SBC powered by an Intel Atom x5-Z8350 processor via a Kickstarter campaign last December. At the time, it only ships to the US, and looked too good to be true. But the thing is real coming from a failed robotics project, and the low-cost x86 board went back for sale via Amazon and other channels with worldwide availability last spring. The price has even gone a bit lower as you’ll find it for $32.95 on Amazon. Note that it requires some technical skills to get started and with 16GB eMMC flash it only supports Liux distributions such as Ubuntu 18.04, and installing Windows 10 is possible, but you’ll be seriously limited. Atomic Pi is back in the news, as IoT Team has now launched another Kickstarter campaign for the board, except it’s not sold standalone, but instead as part of a $99 neural computing development kit that combines Atomic Pi SBC with 2GB …

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