computer vision News - Page 7 of 22 - CNX Software

May 25, 2023May 25, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Reolink E1 Outdoor Pro 4K smart security camera supports WiFi 6 connectivity

Reolink E1 Outdoor Pro is a 4K smart security camera with PTZ and auto-tracking like the Reolink TrackMix, but instead of relying on PoE or WiFi 4/5, the camera comes with WiFi 6 connectivity for a faster and more stable network connection with less latency. Most of the WiFi security cameras I’ve been using come with 2.4GHz WiFi 4, and I’ve found connectivity to the solar-powered Reolink security cameras I’ve been using to be somewhat unreliable with difficulty connecting to them through the mobile app, although uploads to the cloud don’t suffer from those issues. So I typically prefer PoE or 4G LTE security cameras since the connectivity is more stable, but Reolink E1 Outdoor Pro security camera’s WiFi 6 support could help depending on the environment. Reolink E1 Outdoor Pro specifications: Camera – 4K Ultra HD resolution with 3x optimal zoom Color night vision with spotlight PTZ – 355º […]

May 19, 2023May 18, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Cincoze DX-1200 fanless Alder Lake-S embedded computer targets machine vision, industrial automation

Cincoze DX-1200 is a fanless embedded computer powered by a choice of 12th gen Intel Core (Alder Lake-S) Celeron up to Core i9 CPUs whose mainboard is housed in a rugged and compact chassis designed for industrial edge AI and machine vision applications. The DX-1200 supports up to 64GB of 4800MHz DDR5 memory with ECC, and the Intel Xe architecture of the UHD 770 graphics chip is said to deliver image classification inference performance that is 2.8 times the speed of the Comet Lake-S platform. The embedded computer also offers a wide range of I/Os and as well expansion capabilities for up to four 10GbE, DIO, and COM ports, and M.2 and mPCIe sockets for WiFi, GNSS, 4G, and Bluetooth connectivity. Cincoze DX-1200 specifications: Alder Lake-S SoC (one or the other) Intel Core i9-12900E 16 cores up to 5 GHz with Intel UHD Graphics 770; TDP: 65W Intel Core i7-12700E […]

April 20, 2023April 19, 2023 by Leo Zachary - No Comments

100ASK-V853-Pro – A feature-rich Allwinner V853 board designed for AI vision applications

The 100ASK-V853-Pro board is a development kit consisting of an Allwinner V853 system-on-module board (SoM) and a feature-rich carrier board with a large number of interfaces. Allwinner V853 supports up to 1TOPS of NPU computing power and is mainly for AI vision application development. The core board contains a DDR and eMMC as well as a PMU chip (AXP2101) and is connected to the carrier board through a board-to-board connector. All the functional resources of the V853 are drawn out through the carrier board. The carrier board comes with 2-channels CSI camera interfaces as well as RGB and MIPI DSI display interfaces. Although 1 TOPS of AI computing power is not outstanding, the NPU can still be used to accelerate AI vision applications at the edge. The board also comes with four USB 2.0 ports (two Type-A, two Type-C), an 100Mbps Ethernet port, a 22-pin header for expansion, and five […]

April 19, 2023April 19, 2023 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

AAEON BOXER-8224AI – An NVIDIA Jetson Nano AI Edge embedded system for drones

BOXER 8224AI board AI Edge NVIDIA Jetson Nano embedded system

AAEON BOXER-8224AI is a thin and lightweight AI edge embedded system solution based on NVIDIA Jetson Nano system-on-module and designed for drones, or other space-constrained applications such as robotics. AAEON BOXER products are usually Embedded Box PCs with an enclosure, but the BOXER-8224AI is quite different as it’s a compact and 22mm thin board with MIPI CSI interfaces designed to add computer vision capability to unmanned areal vehicles (UAV), as well as several wafers for dual GbE, USB, and other I/Os. BOXER-8224AI specifications: AI Accelerator – NVIDIA Jetson Nano CPU – Arm Cortex-A57 quad-core processor System Memory – 4GB LPDDR4 Storage Device – 16GB eMMC 5.1 flash Dimensions – 70 x 45 mm Storage – microSD slot Display Interface – 1x Mini HDMI 2.0 port Camera interface – 2x MIPI CSI connectors Networking 2x Gigabit Ethernet via wafer connector (1x NVIDIA, 1x Intel i210) Optional WiFi, Bluetooth, and/or cellular connectivity […]

April 17, 2023April 17, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Sony IMX500-based smart camera works with AITRIOS software

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 […]

April 10, 2023March 13, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

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

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 […]

March 31, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

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

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), […]

March 28, 2023 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

conga-STDA4 SMARC 2.1 module features TI TDA4VM/DRA829J Jacinto 7 processor

conga-STDA4 SMARC Module TI Jacinto 7 TDA4VM DRA829J

congatec conga-STDA4 is a SMARC Computer-on-Module (CoM) based on Texas Instruments TDA4VM or DRA829J Jacinto 7 processor with two Cortex-A72 cores, six real-time Cortex-R5 cores for functional safety, accelerated vision and AI processing capabilities, and plenty of interfaces. The first Texas Instruments-powered CoM from the company is designed for industrial mobile machinery requiring near-field analytics, such as automated guided vehicles and autonomous mobile robots, construction and agricultural machinery, as well as any industrial or medical solutions requiring energy-efficient computer vision at the edge. conga-STDA4 specifications: SoC – Texas Instruments Jacinto 7 TDA4VM/DRA829J with Dual-core Arm Cortex-A72 up to 2.0 GHz 6x Arm Cortex-R5F cores @ 1.0 GHz up to 8 MB of on-chip L3 RAM 1x C7x DSP up to 80 GFLOPs 2x C66 DSPs up to 40 GFLOPs Up to 8 TOPS MMA AI accelerator PowerVR Rogue 8XE GE8430 3D GPU with support for OpenGL ES 3.1, OpenVX, OpenCL […]