Raspberry Pi CM3+ based EagleEye Smart Camera Works with OpenCV and LabVIEW NI Vision

Raspberry Pi CM3 Industrial Smart Camera

We previously covered Q-Wave Systems’ Melon S3 board combining a Xilinx Spartan 3E FPGA with ESP8266, but the Thai company is back is a completely different product: EagleEye Smart Camera. The board is powered by Raspberry Pi Compute Module 3+ (CM3+) with 16GB or 32GB flash, and equipped with a 5 MP camera for machine vision and robotics applications.  There are two version of the board Uno and Industrial with the latter adding 24V digital input and outputs, circuit protections and support for industrial temperature range. EagleEye smart camera key features & specifications: SoM – Raspberry Pi CM3+ with Broadcom BCM2837B0 quad core cortex-A53 processor, 1 GB RAM, and 16GB or 32 GB flash Camera – 5 MP OV5647 image sensor,  CS/M12 lens holder + 4mm CS lens Video Output – mini HDMI port Networking – 10/100M Ethernet USB – 1x USB 2.0 host port up to 1.2A Expansion Uno – 4x 3.3V digital input; 4x 3.3V digital output; both …

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Microsoft Unveils The Vision AI Developer Kit For AI on the Edge

The field of Artificial Intelligence is getting more exciting every single day, and the big corporations and startups are massively pouring for it. One thing I am undoubtedly sure about is that the future will certainly be remarkable. Microsoft, the biggest software company in the world with sales over $100 billion has been venturing in the domain of artificial intelligence for a while now with cloud computing platform Azure and other related cloud computing services, but instead of its usual cloud computing route for AI, Microsoft is banking on AI on the edge with the introduction of the Vision AI Developer Kit in joint partnership with the semiconductor giant Qualcomm. With millions of data collected at the Edge, the potential of artificial intelligence on the edge is promising. AI cases performed on the Edge will help in making critical decisions, and more data insight can even facilitate important business scenarios. Microsoft, in partnership with Qualcomm, announced a developer kit back …

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M5Stack M5StickV is a Tiny AI Camera for Maker Projects

M5StickV Description

I’ve just started to play with Maixduino board based on ESP32 WiSoC and Sipeed M1 module that enables AI tasks such as object detection thanks to built-in AI accelerators found in Kendryte K210 RISC-V processor and noticed references to M5Stack M5StickV in firmware file names. Somehow I never wrote about M5Stack, but the company provides modular ESP32 IoT development boards that can be stacked with various modules to easily and quickly build prototypes. M5StickV is one of those modules and is similar to Maixduino kit with camera and display, minus WiFi + Bluetooth connectivity, except that everything nicely packed into a cute module. M5StickV hardware specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor @ 400MHz with dual independent double-precision FPU, 8MB on-chip SRAM, Neural Network Processor (KPU) @ 0.8Tops, Field-Programmable IO Array (FPIOA), and more Storage – 16MB flash, microSD card slot Display -1.14″ SPI display with 240×135 resolution ( ST7789 driver) Camera – VGA (640×480) camera via OV7740 …

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HuskyLens AI Camera & Display Board is Powered by Kendryte RISC-V Processor (Crowdfunding)

HuskyLens AI Camera

A couple of years ago, I reviewed JeVois-A33 computer vision camera  powered by Allwinner A33 quad-core Cortex-A7 processor running Linux. The tiny camera would implement easy-to-use software for machine vision with features such as object detection, eye tracking, QR code and ArUco marker detection, and so on. The camera could handle the tasks at hand, but since it relied on purely software computer vision, there were lag for some of the demo applications including 500ms for single object detection, and up to 3 seconds for YOLO test with multiple object types using deep learning algorithms. That’s a bit slow for robotics project, and software solutions usually consume more than hardware accelerated ones. Since then, we’ve started to see low-cost SoC and hardware with dedicated hardware AI accelerators, and one of those is Kendryte K210 dual-core RISC-V processor with a built-in KPU Convolutional Neural Network (CNN) hardware accelerator and APU audio hardware accelerator found in Sipeed 1 module, Maixduino SBC, and …

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Chuwi HiPAD LTE Tablet Review – Part 2: Android 8.0

CHUWI HiPad LTE Tablet Review

Last month, I received HiPad LTE tablet, and in the first part of the review I checked out the specifications of the 10″ tablet with a MediaTek Helio X27 deca-core processor, 3GB RAM, 32 GB storage, and had a look at the accessories including the keyboard dock. I’ve now had more time to actually play with the device, so I’ll report my experience with Android 8.0, and the pros and cons of the latest Chuwi tablet. General Impressions My previous tablet was Onda V18 Pro, and Chuwi HiPad LTE is clearly an upgrade thanks to the faster Heliox X27 deca-core processor coupled with 3GB of RAM. The 10.1″ display has a 1920×1200 resolution, not quite as good as the 2560×1600 resolution of the Onda tablet, but I still found the screen to be crispy and sharp. I found the tablet to be great for browsing the web and watching YouTube videos, as well as playing some casual and 3D games, …

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Ivport Stereo CM Breakout board for Raspberry Pi Compute Module Supports Two Cameras

Ivport Stereo CM RPi Dual Camera

We’ve previously written about IVport V2 camera multiplexer board that can connect up to 16 cameras to a single Raspberry Pi board in order to create 360 degrees camera setups for example. The company also offered a version with two cameras for stereo recording and capturing modes. But if you’d rather use a Raspberry Pi Compute Module with or without eMMC flash, and use either Raspberry Pi camera V1 or V2, the company has launched Ivport Stereo CM breakout board with support for up to two cameras and exposing some extra ports. Ivport Stereo CM specifications: RPi module compatibility Raspberry Pi CM1 Raspberry Pi CM3 (eMMC equipped) Raspberry Pi CM3 Lite Raspberry Pi CM3+ (eMMC equipped) Raspberry Pi CM3+ Lite RPi camera compatibility Raspberry Pi Camera Module V1.3 (OV5647 sensor) Raspberry Pi Camera Module V2 (Sony IMX 219 sensor) Storage – microSD slot Video Output – HDMI Networking – 10/100M Ethernet with PoE support USB – 2x USB 2.0 ports …

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GAPPoc AI development boards based on the GAP8 RISC-V Chip

GreenWaves has developed a development board based on the GAP8 chip which can be evaluated from a GAPuino board, a generic board that can run off a low power external power source or USB and is compatible with the Arduino ecosystem.  Recently the company moved beyond the generic board to the GAPPoc, platform which stands for GAP8 Proof of Concept. The GAPPoc is focused on a class of applications which can be embedded on a single board and able to carry hardware such as crystal or external memory, sensors, a radio fit, and a battery. The board will be geared towards a set of low power functions for a particular class of applications.  This is a family of boards designed to increase the range of abilities in edge Artificial Intelligence.  At this time there is only a single board with a platform to enhance AI, targeting Computer Vision in the visible spectrum. The variant that has been developed is the …

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S+ Camera Basic Combines Raspberry Pi 3 Board and LTE Shield for Edge Applications

S+ Camera Raspberry Pi 4G-LTE-IoT

Soracom is a company that provides global IoT network cellular connectivity for businesses in smart IoT agriculture, energy, consumer, manufacturing, transportation, and medical industries, and even provides free IoT SIM cards for evaluation (US/Canada only). The company has just announced the S+ Camera on its Japanese blog. The camera looks to features several off-the-shelf components including a Raspberry Pi 3 board and SixFab Raspberry Pi 3G-4G/LTE Base Shield V2 connecting to Soramcom network. It’s a little confusing as to why a cellular IoT company would develop an LTE camera since streaming video requires bitrates not normally associated with IoT. The blog post does provide a few more details however, as S + Camera is said to run SORACOM Mosaic software which enables “algorithms for edge processing cameras and management and operation of cameras”. That means it’s quite possible the video will not be streamed, but edge processing/computing usually means AI is involved, and it may report events such as a person’s …

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