Sony IMX500-based smart camera works with AITRIOS software

LUCID SENSAiZ SZP123S AITRIOS camera

Raspberry Pi recently received a strategic investment from Sony (Semiconductor Solutions Corporation) in order to provide a development platform for the company’s edge AI devices leveraging the AITRIOS platform. We don’t have many details about the upcoming Raspberry Pi / Sony device, so instead, I decided to look into the AITRIOS platform, and currently, there’s a single hardware platform, LUCID Vision Labs SENSAiZ SZP123S-001 smart camera based on Sony IMX500 intelligent vision sensor, designed to work with Sony AITRIOS software. LUCID SENSAiZ Smart camera SENSAiZ SZP123S-001 specifications: Imaging  sensor – 12.33MP Sony IMX500 progressive scan CMOS sensor with rolling shutter, built-in DSP and dedicated on-chip SRAM to enable high-speed edge AI processing. Focal Length  – 4.35 mm Camera Sensor Format – 1/2.3″ Pixels (H x V) – 4,056 x 3,040 Pixel Size, H x V – 1.55 x 1.55 μm Networking – 10/100M RJ45 port Power Supply – PoE+ via […]

Cool Pi CM5 evaluation board features Rockchip RK3588/RK3588J system-on-module

Cool Pi CM5 SBC

Cool Pi CM5 is a system-on-module based on Rockchip RK3588 or RK3588J (industrial temperature range) octa-core Arm Cortex-A76/A55 processor with up to 32GB RAM, 256GB eMMC flash, offered with a development board with dual GbE, two 8K HDMI 2.1 ports, a PCIe 3.0 x2 slot, M.2 NVMe and SATA storage, and more… At the end of last year, we wrote about the Cool Pi 4 as a much faster alternative to Raspberry Pi 4 SBC, and the company has now launched a Raspberry Pi Compute Module 4 and Radxa CM5 alternative with the Cool Pi CM5 MXM 3.0 system-on-module that they offer along with a feature-rich evaluation board (EVB). Cool Pi CM5 EVB specifications: System-on-Module SoC – Rockchip RK3588(J) octa-core processor with 4x Cortex‑A76  cores @ up to 2.4GHz, 4x Cortex‑A55 core @ 1.8GHz Arm Mali-G610 MP4 “Odin” GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 […]

Firefly Station P3D is a modular Rockchip RK3588 mini PC with swappable cards

Firefly Station P3D modular AI mini PC

Powered by the Rockchip RK3588 processor, Firefly Station P3D modular AI mini PC comes with two swappable layers, namely the top one with the main board and default ports such as two HDMI output ports, one HDMI input, Gigabit Ethernet, two USB 3.1 ports, etc…, and the bottom layer that can be configured with various ports depending on your specific application. The top layer is basically the new Station P3 mini PC with RK3588 octa-core Cortex-A76/A55 processor, up to 32B RAM, 256GB eMMC flash, an M.2 2280 NVMe SSD socket, and dual-band WiFi 6 & Bluetooth 5.0 plus all the ports mentioned above. Fire Station P3D specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex-A76 cores @ up to 2.4 GHz, four Cortex-A55 cores @ up to 1.8 GHz GPU – Arm Mali-G610 MP4 quad-core GPU with OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1 support AI accelerator […]

IP67-rated CM4 AI camera uses Raspberry Pi Compute Module 4 for computer vision applications

EDATEC ED-AIC2020

EDATEC ED-AIC2020 is an IP67-rated, Raspberry Pi CM4-based industrial AI camera equipped with a fixed or liquid lens and LED illumination that leverages the Raspberry Pi Compute Module 4 to run computer vision applications using OpenCV, Python, And Qt. We’ve previously written about Raspberry Pi Compute Module-based smart cameras such as the Q-Wave Systems EagleEye camera (CM3+) working with OpenCV and LabVIEW NI Vision and the StereoPi v2 (CM4) with stereo vision. But the EDATEC ED-AIC2000 is the first ready-to-deploy Raspberry Pi CM4 AI camera we’ve covered so far. EDATEC “CM4 AI camera” (ED-AIC2020) specifications: SoM – Raspberry Pi Compute Module 4  up to 8GB RAM, up to 32GB eMMC flash Camera 2.0MP global shutter or 5.0MP rolling shutter Acquisition rate – Up to 70 FPS Aiming point – Red cross laser Built-in LED illumination (optional) Scanning field Electronic liquid lens Fixed focal length lens Networking Gigabit Ethernet M12 port Communication protocols – Ethernet/IP, PROFINET, Modbus […]

Cytron CM4 Maker Board review – Part 2: NVMe SSD, RTC, Buzzer, Grove modules, ChatGPT…

Cytron CM4 Maker board Review

We’ve already checked out Cytron’s CM4 Maker Board kit with a Raspberry Pi CM4 system-on-module and booted the system with the included 32GB “MAKERDISK” Class 10 microSD card preloaded Raspberry Pi OS in the first part of the review. For the second part of the CM4 Maker review, I’ve mostly used the 128GB NVMe SSD provided by the company and played with other features of the board including the RTC, the buzzer, some Seeed Studio grove modules, and even got help from ChatGPT for one of the Python programs I used. Booting Cytron CM4 Maker Board with the “MAKERDISK” NVMe SSD I connected several Grove modules with GPIO and I2C interfaces, a Raspberry Pi Camera Module 3, an Ethernet cable, two RF dongles for a wireless keyboard and mouse, an HDMI cable to a monitor, and finally inserted the provided 5V/3.5A USB-C power adapter. The MAKERDISK SSD comes with Raspberry […]

AMD Alveo MA35D media accelerator transcodes up to 32 1080p60 AV1 streams in real-time

AMD ALVEO MA350 AV1 real-time encoding card

AMD Alveo MA35D media accelerator PCIe card is based on a 5nm ASIC capable of transcoding up to 32 Full HD (1080p60) AV1 streams in real-time and designed for low-latency, high-volume interactive streaming applications such as watch parties, live shopping, online auctions, and social streaming. AMD says the Alveo MA35D utilizes a purpose-built VPU to accelerate the entire video pipeline, and the ASIC can also handle up to 8x 4Kp60, or 4x 8Kp30 AV1 streams per card. H.264 and H.265 codecs are also supported, and the company claims its “next-generation AV1 transcoder engines” deliver up to a 52% reduction in bitrate at the same video quality against “an open source x264 veryfast SW model”. AMD Alveo MA350 highlights: Auxiliary CPU – 2x 64-bit quad-core RISC-V to perform control and board management tasks AI Processor – 22 TOPS per card for AI-enabled “smart streaming” for video quality optimization Memory – 16GB […]

Pocket AI – A portable NVIDIA RTX A500 eGPU for AI developers, embedded & industrial applications

Pocket AI NVIDIA RTX 500 eGPU

We’ve previously seen it’s possible to connect an eGPU to a mini PC through a PCIe x16 to M.2 NVMe adapter or a Thunderbolt 3 port, but while it’s fine to install on your desk for gaming or develop AI applications, the eGPU being larger than most mini PCs, it’s a little too big to integrate into products, and potentially inconvenient to carry around. ADLINK Pocket AI portable eGPU changes that with an NVIDIA RTX A500 GPU housed in a 106 x 72 x 25mm box that’s about the size of a typical power bank and connects to a host through a Thunderbolt 3 connector. The company says the upcoming eGPU is mostly designed for AI developers, professional graphics users, and embedded industrial applications, but can also be for gaming. Pocket AI specifications: GPU – NVIDIA RTX 500 Architecture – NVIDIA Ampere GA107 Base clock: 435 MHz Boost clock: 1335 […]

SOPHON BM1684/BM1684X Edge AI computer delivers up to 32 TOPS, decodes up to 32 Full HD videos simultaneously

Sophon BM1684 BM1684X Edge AI computer

Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD are nearly identical Edge AI embedded computers based on respectively SOPHON BM1684 and BM1684X Arm AI SoC delivering up to 32 TOPS of AI inference, and capable of decoding up to 32 H.265/H.264 Full HD videos simultaneously for video analytics applications. The BM1684(X) SoCs are equipped with eight Cortex-A53 cores clocked at 2.3 GHz to run Linux, and the systems come with up to 16GB RAM, 128GB flash, two Gigabit Ethernet ports to receive the video streams, one HDMI output up to 1080p30 for monitoring,  as well as RS232 and RS485 DB9 connectors, and a few USB ports. Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD specifications: SoC – SOPHGO SOPHON BM1684/BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3GHz TPU BM1684 64 NPU arithmetic units with each NPU containing 16 EU arithmetic units, or 1,024 EU in total Up to 17.6 TOPS (INT8), […]

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