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OpenMV CAM RT1062 camera for machine vision is programmable with MicroPython

Following the success of the OpenMV Cam H7 and the original OpenMV VGA Camera, OpenMV recently launched the OpenMV CAM RT1062 powered by NXP’s RT1060 processor. This new camera module integrates a range of features, including a high-speed USB-C (480Mbps) interface, an accelerometer, and a LiPo connector for portability. Similar to its predecessor, this camera module also features a removable camera system, and it is built around the OV5640 image sensor which is more powerful in terms of resolution and versatility. However, the previous Omnivision OV7725 sensor, used in the OpenMV Cam H7 has a far superior frame rate and low-light performance. OpenMV provides a Generic Python Interface Library for USB and WiFi Comms and an Arduino Interface Library for I2C, SPI, CAN, and UART Comms which can be used to interface your OpenMV Cam to other systems. To program the board, you can use MicroPython 3 with OpenMV IDE, […]

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More Allwinner F1C200s ARM9 boards: MangoPi R3 and CherryPi-F1C200S

I wrote about the Widora TINY200 board based on Allwinner F1C200s ARM9 processor with 64MB built-in RAM, up to 512MB NAND flash, LCD and camera interfaces in April 2020. I was just informed more similar Allwinner F1C200s boards had recently shown up with Widora MangoPi R3 that’s basically the same as TINY200, and CherryPi-F1C200S with similar dimensions and features, but a different ports arrangement. Let’s have a look at both. MangoPi R3 MangoPi R3 specifications are the same as the ones for Tiny200 board, but they selected the 128MB NAND flash storage option, and changed the USB-TTL chip: SoC – Allwinner F1C200s ARM926EJS processor @ 420 MHz (overclockable to 700 MHz) with 64MB DDR RAM Storage – 128MB NAND flash and MicroSD card slot Display I/F – 40-pin RGB565 display interface and 6-wire touch interface Camera I/F – 24-pin DVP camera interface compatible with OV2640, GC0328, etc. Audio – Onboard […]

ArmSoM CM5 - Raspberry Pi CM4 alternative with Rockchip RK3576 SoC
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MYIR introduces i.MX 8M Plus module and devkit with AI/ML capabilities

There are already plenty of i.MX 8M Plus systems-on-module, but here’s one more courtesy of MYIR Tech with MYC-JX8MPQ i.MX 8M Plus module with as well as MYD-JX8MPQ development board for evaluating the solution. The module is especially well suited to applications leveraging Artificial Intelligence (AI) and Machine Learning (ML) with the NXP Cortex-A53/M7 integrating a 2.3 TOPS Neural Processing Unit (NPU). The module comes with up to 6GB LPDDR4, 128GB eMMC flash, 32MB QSPI flash, a PMIC for power management, as well as a 314-pin MXM 3.0 connector exposing the I/Os from the processor. MYC-JX8MPQ module specifications: SoC – NXP i.MX 8M Plus (MIMX8ML8CVNKZAB) quad-core Cortex-A53 processor @ 1.6 GHz, real-time Arm Cortex-M7 co-processor @ 800 MHz, 2.3 TOPS AI accelerator, 2D/3D GPU, HiFi4 Audio DSP, and 1080p VPU System Memory – 3GB LPDDR4 (option up to 6GB) Storage – 8GB eMMC flash (option up to 128GB), 32MB QSPI […]

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PinePhone Pro Linux smartphone to feature a power-optimized Rockchip RK3399S processor

Pine64 has now announced the PinePhone Pro Linux smartphone with a Rockchip RK3399S hexa-core processor clocked at 1.5 GHz, that’s a power-optimized version of the popular Rockchip RK3399 processor. It will provide a noticeable upgrade to the PinePhone Linux smartphones launched in November 2019, which, by today’s standards, is quite underpowered. Besides the faster processor, PinePhone Pro also comes with 4GB RAM and 128 GB storage which should make it a better candidate at mobile desktop convergence, as well as a 5.95-inch display with 1440×720 resolution, a 13MP rear camera, a 5MP front-facing camera, and more. PinePhone Pro specifications: SoC – Rockchip RK3399S with an hexa-core processor comprised of 2x Cortex-A72 core @ up to 1.5 GHz, 4x Cortex-A53 cores, Arm Mali T860 quad-core GPU @ 500Mhz System Memory – 4GB LPDDR4 @ 800MHz Storage – 128GB eMMC flash storage, MicroSD slot Display – 5.95-inch 1440 x 720 in-cell IPS with […]

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OpenMV PureThermal STM32H7 board overlays thermal map on RGB image

We’ve been writing about OpenMV open-source camera boards programmable with MicroPython at least since 2015, with the latest model OpenMV Cam H7 based on STM32H7 Cortex-M7 microcontroller introduced in 2018. But the company has now gone a step further with OpenMV PureThermal board equipped with a more powerful STM32H7 dual-core Arm Cortex-M7/M4microcontroller, and supporting FLIR Lepton 2 to 3.5 thermal imagers, allowing the system to overlay the thermal map on top of the image like an augmented reality app would do. It can do so on the integrated LCD display or on an HDMI display. OpenMV PureThermal features & specifications: MCU – STMicro STM32H7 Arm Cortex-M7 @ 480 MHz) and Cortex-M4 @ 240 MHz microcontroller Memory – 64MB SDRAM Storage – 32 MB of QSPI flash for the firmware, a microSD card slot for saving pictures and machine vision assets Display 800×480 touch Screen LCD DVI out for driving an […]

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PineCube open-source Linux IP camera devkit launched for $30

Pine64 has been a busy company/community with the launch of Linux powered Arm development boards, PinePhone smartphone, PineTab tablet, and Pinebook Pro laptop in the last two years. They also had other smaller projects that got fewer resources due to the launch of the aforementioned products and COVID-19 induced delays, and one of those is PineCube open-source IP camera development kit that finally launched for $29.99 plus shipping. PineCube hardware specifications: SoC – Allwinner/Sochip S3 Arm Cortex-A7 processor @ 800MHz with 128MB in-package DDR3 RAM Storage – 128Mbit SPI Nor Flash and MicroSD slot, both bootable Camera – 5MP OV5640 sensor Audio – Built-in microphone, speaker Display – Optional 4.5-inch RGB LCD screen ( Networking – 10/100M Ethernet with passive PoE and WiFi USB – USB 2.0 Type-A host port Expansion – 26-pin GPIO header Misc – Volume and home buttons Power Supply 5V/1A via micro USB port or GPIO […]

Rockchip RK3568/RK3588 and Intel x86 SBCs
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$16 Banana Pi BPI-EAI80 Cortex-M4F Board Embeds AI Accelerator, WiFi Module

Last April, we wrote about Edgeless EAI-Series dual Arm Cortex-M4 MCU equipped with a 300 GOPS CNN-NPU for AI at the very edge as we had discovered the chip in an upcoming Banana Pi board. It turns out Banana Pi BPI-EAI80 development board powered by Edgeless EAI80 AI microcontroller has just launched for $16 on Aliexpress, or you could get a complete kit with a touchscreen display,  a camera, and a USB power supply for $80. Banana Pi BPI-EAI80 development board specifications: System-in-Package – Edgeless EIA80 dual-core Cortex-M4F microcontroller @ 200MHz with 300GOPS AI accelerator (CNN-NPU), 384KB of SRAM including 256KB for CNN-NPU, and 8MB SDRAM Storage – SPI flash Display I/F – LCD connector up to 1024×768 Camera I/F – 1x DVP camera interface Audio – 2x onboard microphones Connectivity – 2.4GHz 802.11b/g/n WiFI 4 using ESP8266 module USB – 1x USB 2.0 Type-C port Expansion 40-pin GPIO header […]

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iWave Systems i.MX8M Mini Devkit Targets Low-cost Facial Recognition Systems

iWave Systems i.MX8M Mini Board is a development platform based on an update versions of the company’s iW-RainboW-G34M-SM i.MX 8M Mini system-on-module and designed specifically for low-cost facial recognition systems thanks to NXP eIQ ML software, and MIPI display and camera. iWave Systems i.MX8M Mini (aka iW-RainboW-G34D) specifications: SoM SoC – NXP i.MX8M Mini Q/QL/D/DL/S/SL with up to 4x Cortex-A53 cores,  1x Cortex-M4F real-time core, Vivante 3D and 2D GPUs System Memory – 1GB LPDDR4 (Expandable up to 4GB) Storage – 8GB eMMC Flash (Expandable), optional 2MB QSPI Flash optional Micro SD slot Wireless – Dual-band 802.11a/b/g/n/ac WiFi 5 and Bluetooth 5.0. PMIC – BD71847AMWV i.MX8M SODIMM Carrier Board Storage – MicroSD slot Display I/F – MIPI DSI display connector Camera I/F – MIPI CSI camera connector Audio – Audio codec, 3.5mm Line In/Out jack Networking – Up to 2x Gigabit Ethernet ports (One is Optional) USB – 2x USB […]

Boardcon Rockchip and Allwinner SoM and SBC products