Arducam Pico4ML Board – TinyML on Raspberry Pi RP2040 with QVGA Camera & Display

Arducam Pico4ML

A few months ago, ArduCAM demonstrated person detection on Raspberry Pi Pico with Arducam camera using TensorFlow Lite, and later we noted more work was being performed to bring machine learning to RP2040 platforms, notably with the development of Arducam Pico4ML board with a built-in camera and display. At the time, i..e last month, all we had were some renders of the board, but now Arducam Pico4ML pre-orders have launched for $49.99 on UCTRONICS and Tindie stores. Shipping is scheduled to start at the end of the month, so let’s have a closer look. Arducam Pico4ML TinyML devkit specifications: Microcontroller – Raspberry Pi RP2040 dual-core Cortex-M0+ MCU with 264 KB of embedded SRAM Storage – 2MB SPI flash Display – 0.96-inch LCD SPI Display (ST7735) with 160 x 80 resolution Camera – HiMax HM01B0 QVGA camera (320×240 @ 60fps) Audio – Built-in microphone Sensor – IDK ICM-20948 9-axis IMU (gyroscope, accelerometer, compass) Expansion – 2x 20-pin headers that follows Raspberry […]

Rugged, fanless quad-camera system brings AI and Machine Vision to rolling stock and automotive applications

quad-camera system automotive AI & machine vision

Eurotech BoltGPU 10-31 is a rugged fanless embedded system powered by NVIDIA Jetson Xavier NX module, equipped with four FAKRA connectors for GMSL camera, and designed to bring Edge AI and machine vision to rolling stock (e.g. trains) and automotive applications. The BoltGPU 10-31 also features 16 GB of eMMC flash, NVMe SSD support, three Gigabit Ethernet interfaces, WiFI 6 and Bluetooth 5.1, two USB3.1 ports, as well as isolated CAN-FD,  optoisolated DIO,  video out, and GNSS with optional RTK. BoltGPU 10-31 specifications: System-on-Module – NVIDIA Jetson Xavier NX with hexa-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 cache, 384-core NVIDIA Volt GPU with 48 Tensor Cores (up to 21 TOPS of accelerated computing), 8 GB LPDDR4x RAM, 16GB eMMC 5.1 flash Storage MicroSD card socket Optional 512 GB NVMe SSD on M.2 Key M socket 256 Kbit Serial EEPROM Video Output – 1x Mini DisplayPort Camera Input – 4x GMSL (1.5Gbps to CSI-2) FAKRA […]

Edge AI and robotics embedded computers feature NVIDIA Jetson TX2 NX module

NVIDIA Jetson TX2 NX computers

NVIDIA unveiled a cost-down version of the Jetson TX2 module with the Jetson TX2 NX SO-DIMM system-on-module last month, and AAEON is one of the first companies to have updated some of their products with the new module. AAEON’s BOXER-823x-series of fanless embedded computers feature the NVIDIA Jetson TX2 NX module, and multiple Ethernet ports, including some PoE capable for the development of edge AI and robotics applications. BOXER-8230AI AI Edge Fanless Embedded Box PC This model offers a mid-range alternative between the Jetson Xavier AGX NX-based BOXER-8250AI embedded box PC and the Jetson Nano-powered BOXER-8220AI mini PC both of which offer the same ports. BOXER-8230AI specifications: SoM (CPU/Memory/Storage) – NVIDIA Jetson TX2 NX with dual-core NVIDIA Denver 2 64-Bit CPU and quad-core Arm Cortex-A57 MPCore processor @ up to 2.0 GHz, 256-core NVIDIA Pascal GPU @ up to 1.3 GHz, 4GB LPDDR4, 16GB eMMC flash Storage – MicroSD card slot, SATA III port for 2.5-inch drive (for high version) […]

GMSL2 camera kit supports 15-meter long cables, up to six cameras with NVIDIA Jetson Xavier AGX

6x gmsl2 cameras nvidia agx xavier devkit

We’ve recently seen it’s possible to use a long cable with the Raspberry Pi camera thanks to THine camera extension kit that works with 20-meter LAN cables using V-by-One HS technology. e-con Systems has now launched a similar solution for NVIDIA Jetson Xavier AGX, one of the most powerful Arm devkits available in 2021, with NileCAM21 Full HD GMSL2 HDR Camera that supports up to 15-meter long cable as well as LFM (LED Flickering Mitigation) technology. NileCAM21 camera features and specifications: Based on OnSemi AR0233 Full HD camera module with S-mount interchangeable lens holder Gigabit Multimedia Serial Link 2 (GMSL2) interface with FAKRA connector Shielded coaxial cable for transmission of power and data over long distances (up to 15m) High Dynamic Range (HDR) with LED Flickering Mitigation (LFM) Supported resolutions and max frame rates for uncompressed UYVY streaming VGA (640 x 480) up to 60 fps qHD (960 x 540) up to 58 fps HD (1280 x 720) up to […]

Raspberry Pi CM4 based predictive maintenance gateway features Google Coral Edge AI accelerator

Techbase IModGate-AI predictive maintenance gateway

Techbase had already integrated the Raspberry Pi CM4 module into several industrial products including Modberry 500 CM4 DIN Rail industrial computer,  ModBerry AI GATEWAY 9500-CM4 with a Google Edge TPU, and ClusBerry 9500-CM4 that combines several Raspberry Pi CM4 modules into a DIN Rail mountable system. The company has now announced another Raspberry Pi Compute Module 4 gateway – iModGATE-AI – specially designed for failure monitoring and predictive maintenance of IoT installations, which also embeds a Google Coral Edge TPU AI module to accelerate computer vision. iModGATE-AI gateway specifications: SoM – Raspberry Pi Compute Module 4 with up to 32GB eMMC AI accelerator – Google Coral Edge TPU AI module Video Output – HDMI port Connectivity – Gigabit Ethernet USB – USB 2.0 port Sensors – 9-axis motion tracking module with 3-axis gyroscope with Programmable FSR, 3-axis accelerometer with Programmable FSR, 3-axis compass (magnetometer) Expansion 2x 16-pin block terminal Advanced Analog Inputs (up to 24-bit) with tensiometric input support RTC […]

Armv9 architecture to focus on AI, security, and “specialized compute”

Armv9

Armv8 was announced in October 2011 as the first 64-bit architecture from Arm. while keeping compatibility with 32-bit Armv7 code. Since then we’ve seen plenty of Armv8 cores from the energy-efficient Cortex-A35 to the powerful Cortex-X1 core, as long as some custom cores from Arm partners. But Arm has now announced the first new architecture in nearly ten years with Armv9 which builds upon Armv8 but adds blocks for artificial intelligence, security, and “specialized compute” which are basically hardware accelerators or instructions optimized for specific tasks. Armv9 still supports Aarch32 and Aarch64 instructions, NEON, Crypto Extensions, Trustzone, etc…, and is more an evolution of Armv8 rather than a completely new architecture. Some of the new features brought about by Armv9-A include: Scalable Vector Extension v2 (SVE2) is a superset of the Armv8-A SVE found in some Arm supercomputer core with the addition of fixed-point arithmetic support, vector length in multiples of 128, up to 2048 bits. Useful for specialized DSP […]

Geniatech DB1126 development board features RV1126 SoC for AI applications

DB1126 Development Board

Since the release of Rockchip RV1126 SoC, we have covered the detailed specifications on the chip and the RV1126-based Firefly dual-lens AI camera module. To take advantage of hybrid MCU cores from ARM and RISC-V, Geniatech has announced the DB1126 development board, a new addition to their long list of ARM Embedded developer boards designed to tackle any task requiring artificial intelligence. The new Developer Board 1126 development board gets its name from Rockchip RV1126 SoC with a quad-core ARM Cortex-A7 and RISC-V MCU and a neural network acceleration with performance up to 2.0 TOPS that support INT8/ INT16. As the company says, “DB1126 is a high-performance, versatile, high-computing (2TOPS) general-purpose, intelligent integrated carrier board + core board.” The board is not just a simple development board but also a carrier board with a core board connected via a board-to-board (BTB) double groove connection. Geniatech has provided the DB1126 development board with 256MB RAM, which may be limited, but has […]

Snapdragon 780G 5G SoC announced with 12 TOPs AI performance, triple ISP, WIFI 6E

Qualcomm has just announced an update to its Snapdragon 765G 5G processor with Snapdragon 780G 5G mobile platform equipped with  Qualcomm Spectra 570 triple ISP (Image Signal Processor) and a 6th generation Qualcomm AI Engine that delivers up to 12TOPS AI performance, or twice that of Snapdragon 765G 5G SoC. As a “G” part, Snapdragon 780G comes with Snapdragon Elite Gaming features to improve the gaming experience with updateable GPU drivers, ultra-smooth gaming, and True 10-bit HDR gaming.  Snapdragon 780G also updates its 5G modem with Snapdragon X53 with peak download speeds of 3.3 Gbps on sub-6 GHz frequencies, and supports premium Wi-Fi 6/6E and Bluetooth audio features offered on Snapdragon 888 premium SoC. Snapdragon 780G 5G (SM7350-AB) key features and specifications: CPU – Octa-core Kryo 670 processor with 1x Arm Cortex-A78 @ 2.4GHz, 3x Arm Cortex-A78 @ 2.2GHz, 4x Arm Cortex-A55 @ 1.9GHz GPU – Adreno 642 with support for OpenCL 2.0 FP, OpenGL ES 3.2, Vulkan 1.1 Hexagon […]