computer vision

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on IBASE EC3100 – A fanless NVIDIA Jetson Orin NX/Nano embedded computer with up to 6x GbE ports (4x with PoE)

IBASE EC3100 – A fanless NVIDIA Jetson Orin NX/Nano embedded computer with up to 6x GbE ports (4x with PoE)

IBASE EC3100 Fanless Embedded Computer

IBASE EC3100 is a fanless edge AI computer powered by NVIDIA Jetson Orin NX or Orin Nano module with up to six GbE ports, including four with PoE for cameras, a wide 9V to 36V DC input, and a -20°C to 70°C temperature range for industrial environments. The EC3100 is equipped with a choice of modules from the Jetson Orin Nano 4GB up to the Jetson Orin NX 16GB, delivering a maximum of 157 TOPS of AI performance. The embedded system also features an HDMI 2.1 video output, audio input and output jacks, optional WiFi and/or 4G LTE/5G cellular connectivity, RS232 and CAN Bus DB9 connectors, and several digital inputs and outputs. EC3100 specifications: System-on-Module (one or the other) EC3100-NANO-4 – NVIDIA Jetson Orin Nano 4GB with 8-core Arm Cortex-A78AE CPU @ 1.5 GHz, 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores; 34 TOPS max EC3100-NANO-8 – NVIDIA Jetson […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Espressif Systems ESP32-P4-EYE development kit looks like a camera

Espressif Systems ESP32-P4-EYE development kit looks like a camera

ESP32-P4-EYE

Espressif Systems’ ESP32-P4-EYE is a development kit designed for AI vision applications that looks like a standard camera. It combines an ESP32-P4 RISC-V microcontroller with an ESP32-C6 WiFi 6, BLE, and 802.15.4 SoC, and is equipped with a MIPI-CSI camera, a 2MP display, a microphone, and a MicroSD card to store photos or videos. There’s also a rotatory encoder to control the menu on the LCD or adjust the zoom, a fill/flash light, a few buttons, an LED, and support for either USB or battery power. The company says the ESP32-P4 camera devkit targets smart surveillance, vision-based edge AI, real-time image detection, and audio-visual IoT interfaces. ESP32-P4-EYE specifications: Microcontroller – ESP32-P4 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel Processing Accelerator (PPA) VPU – H.264 and JPEG codecs support Memory […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Axelera Metis Compute Board pairs Rockchip RK3588 SoC with 214 TOPS Metis AI accelerator

Axelera Metis Compute Board pairs Rockchip RK3588 SoC with 214 TOPS Metis AI accelerator

Metis Compute Board

Axelera Metis Computer Board is a Rockchip RK3588 mini-ITX motherboard equipped with a Metis AIPU (AI Processing Unit) capable of delivering up to 214 TOPS, 16GB LPDDR4 memory for the CPU, and 4GB LPDDR4x RAM for the AI accelerator. I first came across the Axelera Metis AIPU in M.2 and PCIe card in 2023, and I was rather impressed with the advertised 214 TOPS of AI performance promised in this form factor and relatively affordable $149 price tag considering the price-to-performance ratio. At the time, it was still hard to source the chip and module due to limited quantities, and in 2024, it became easier to evaluate the solution with the Axelera Metis PCIe Arm AI evaluation kit based on a Firefly ITX-3588J mini-ITX motherboard equipped with a 214 TOPS Metis AIPU PCIe card. The new Metis Compute Board is similar, but in a more compact form factor since the […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Allwinner T536 quad-core Arm Cortex-A55 & RISC-V industrial SoC supports ECC RAM, up to 3 TOP AI accelerator

Allwinner T536 quad-core Arm Cortex-A55 & RISC-V industrial SoC supports ECC RAM, up to 3 TOP AI accelerator

Forlinx OK536-C Allwinner T536 development board

Allwinner T536 SoC features four Cortex-A55 cores, a 600 MHz RISC-V core, and a low-power RISC-V for power management, as well as support for ECC memory and an optional NPU with up to 3 TOPS of AI performance. The processor is designed to work in the industrial temperature range (-40 to +85°C) and offers plenty of I/Os, including two Gigabit Ethernet, a USB 3.1 DRD and PCIe Gen2 conbo, MIPI DSI, RGB, and LVDS display interfaces, paralle CSI and MIPI CSI camera interfaces, CAN FD, SPI, I2C, UART, several ADC, and more. The SoC is designed for interactive terminals, smart manufacturing, and other Edge AI industrial equipment. Allwinner T536 specifications: CPU cores Quad-core Arm Cortex-A55 @ up to 1.6GHz Single-core E907 RISC-V core @ up to 600 MHz Single-core E902 RISC-V MCU for low-power management GPU – G2D hardware accelerator with rotate, mixer, and scaler functions ISP Max resolution – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Aerium Lumen – An NVIDIA Jetson carrier board for drones and robots

Aerium Lumen – An NVIDIA Jetson carrier board for drones and robots

NVIDIA Jetson Carrier Board for drones

Aerium System’s Lumen is a carrier board for NVIDIA Jetson SO-DIMM modules designed specifically for drones and robots with a range of low-profile connectors for I/Os for USB, UART, I2C, etc…, and three M.2 sockets for storage and wireless expansion. It targets the same applications as ARK Electronics’ NDAA-compliant Jetson Orin Nano/NX carrier board for drones we covered last year, but it’s not sold as a full kit and lacks NDAA-compliance. On the positive side, it is quite smaller and lighter, so it might be better suited to smaller and/or less complex drones or robots that may still benefit from Vision AI acceleration. Aerium Lumen specifications: Compatible system-on-modules NVIDIA Jetson Nano NVIDIA Jetson Orin NX NVIDIA Jetson Orin Nano NVIDIA Jetson Xavier NX NVIDIA Jetson TX2 NX Potentially other Jetson-compatible SO-DIMM modules like the Mixtile Core 3588E, but those are not listed by the company. Storage MicroSD card slot M.2 Key-B […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

ZED Box Mini

Stereolabs ZED Box Mini “Super” is a compact mini PC based on NVIDIA Jetson Orin Nano or NX system-on-module and equipped with two GMSL2 camera inputs with synchronization trigger input/output, enabling AI Vision processing for robotics and smart infrastructure. The AI vision mini PC / embedded computer unit (ECU) also features a 256GB SSD, HDMI 1.4/2.1 video output, a gigabit Ethernet port, an optional Intel AX201 wireless module with two external antennas, a USB 3.0 port, a micro USB port for flashing the OS, and a 10-pin GPIO header with CAN Bus and UART for expansion. ZED Box mini specifications: System-on-Module (one or the other) NVIDIA Jetson Orin Nano 4GB | 34 TOPS NVIDIA Jetson Orin Nano 8GB | 67 TOPS NVIDIA Jetson Orin NX 8GB | 117 TOPS NVIDIA Jetson Orin NX 16GB | 157 TOPS Storage – 256GB SSD inserted in M.2 Key-M 2242 socket Video Output – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Teledyne Tetra 2.5 GbE line scan camera supports up to 8K resolution for machine vision applications

Teledyne Tetra 2.5 GbE line scan camera supports up to 8K resolution for machine vision applications

Teledyne Tetra line scan camera

Teledyne DALSA has recently announced the Tetra line scan camera family with 2.5GbE networking, up to 8K resolution, a line rate of up to 150 kHz, and offered in monochrome or color versions. Traditional cameras (aka scan camera) will capture a full frame, but line scan cameras will only capture one line at a time to scan an object or scene as it moves past the camera providing higher resolution image provided the speed of the scan and the motion of the object are syncrhonized, for instance, on a production line. Line scan cameras like the Tetra are typically used for quality control at the factory,  document scanning, license plate scanning, and scientific research (e.g. satellite imaging).   Teledyne Tetra specifications: Color cameras Tetra 2k Color  – TL-GC-02K05T-00 Resolution – 2048 x 3 Pixel size – 14 μm Max line rate – 50 kHz x 3 Tetra 4k Color –  […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES uSMARC module Renesas RZ V2N

SOMDEVICES µSMARC RZ/V2N is a system-on-module powered by the Renesas RZ/V2N AI MPU and offered in a micro SMARC (µSMARC) form factor that’s quite smaller at 82x30mm than standard 82x50mm SMARC modules. The company told CNX Software it’s still 100% compatible with SMARC 2.1 with a 314-pin MXM 3.0 edge connector. It’s also cost-effective with a compact PCB and can be used in space-constrained applications. The µSMARC features up to 8GB LPDDR4, up to 128GB eMMC flash, two gigabit Ethernet PHY, and an optional WiFi 5 and Bluetooth 5.1 wireless module. µSMARC RZ/V2N specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and Open CL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 […]

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