computer vision News - Page 17 of 22 - CNX Software

April 17, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Boardcon RK1808 SBC Targets Smart Audio & Computer Vision Applications

Rockchip RK1808 neural network processing unit was initially an IP Block inside RK3399Pro, but the company eventually launched RK1808 Cortex-A35 processor as a standalone solution now providing up to 3.0 TOPS for AI inferencing in modules, USB sticks, and development kits. Boardcon offers another option with EM1808, a Rockchip RK1808 SBC equipped with the processor. The board should be suitable for two main types of AI applications, namely smart audio applications thanks to four audio ports, speaker header, & an onboard 4-mic array, and computer vision with MIPI CSI & DSI interfaces. Boardcon EM1808 board is comprised of a baseboard and CPU module with the following overall specifications: SoC – Rockchip RK1808 dual Cortex-A35 processor up to 1.6GHz with 3.0 TOPS (for INT8) NPU, VPU supporting H.264 1080p60 decode, 1080p30 encode System Memory- 2GB LPDDR3 Storage – 8GB eMMC flash, MicroSD slot, M.2 NVMe SSD interface Display I/F – 26-pin […]

April 15, 2020July 31, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

ADLink Launches Vizi-AI Development Starter Kit for Industrial Machine Vision & Artificial Intelligence

ADLINK has recently launched Vizi-AI development starter kit for industrial machine vision and artificial intelligence (AI) at the edge in collaboration with Intel and Arrow Electronics. Vizi-AI is comprised of a carrier board that looks to be the same as used in the company’s I-Pi SMARC development kit equipped with an Intel Movidius Myriad X VPU and combined with LEC-AL Intel Atom Apollo Lake SMARC computer module. Vizi-AI SBC Let’s have a look at the hardware features and specifications of Vizi-AI SBC (aka VIZI-AI LEC-AL-E3940-AI-4G-32G): SoC – Intel Atom x5-E3940 quad-core Apollo Lake-I processor @ up to 1.6 / 1.8 GHz (Turbo) with 12EU Intel HD Graphics 500; 9.5W TDP System Memory – 4GB LPDDR4 (Option up to 8GB) Storage – 1x MicroSD card slot AI Accelerator – Intel Movidius Myriad-X VPU (Vision Processing Unit) Video – 1x HDMI port, single-channel LVDS/eDP interface via flat cable Audio – On-carrier audio […]

February 5, 2020February 5, 2020 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Toradex AI Embedded Vision Starter Kit Leverages Amazon Web Services for AI and ML Applications

Toradex AI Embedded Vision AWS Starter Kit

Toradex, Amazon Web Services (AWS), and NXP Semiconductors collaborated to create the AI Embedded Vision Starter Kit aiming to ease the development of cloud-connected computer vision and machine learning applications in industries such as industrial automation, agriculture, medical equipment, and many more. The AI Embedded Vision Starter Kit includes the following items: Toradex Apalis iMX8 System on Module (SoM) powered by NXP i.MX 8QuadMax applications processor Toradex Ixora Carrier Board Allied Vision Alvium 1500 industrial-grade MIPI CSI-2 camera All required cables and a 12VDC (30W) power supply Full software stack, including source code for running the device as well as for cloud deployment Extensive documentation 50 USD AWS credit The kit will help developers meet the must-have requirements of smart connected devices including secure connectivity, remote monitoring, OTA updates, maximum uptime & reliability, compact form factor, cost-optimized hardware, computer vision and machine learning algorithms optimized for low-power hardware, and more. […]

February 1, 2020December 1, 2021 by Jean-Luc Aufranc (CNXSoft) - 17 Comments

Rockchip RK3566, RK3588, RV1109 SoC’s Coming in 2020 based on Rockchip Processor Roadmap

Last year, Rockchip had a presentation in China where they highlighted their processor roadmap for 2020, and we learned about processors such as Rockhip RK3588 Cortex-A76/A55, RK3530 Cortex-A55 SoC’s, and RV1109 camera processor, but we had limited details about the processors at the time. CNX Software has now received a more detailed roadmap that reveals some of the specifications about the new processors, and some Rockchip products that people may not be aware of such as a 3D structured light module and a 4G module. Rockchip RK3566 Rockchip RK3530 is not shown in the roadmap, but there’s a similar RK3566 processor, so I assume the company just changed the name. Rockchip RK3566 specifications: CPU – Quad-core Arm Cortex-A55 @ 1.8GHz GPU – Arm Mali-G52 2EE NPU – 0.5 TOPS with support for INT8/ INT16 Multi-Media 8M ISP 2.0 with 3F HDR(Line-based/Frame-based/DCG) Support MIPI-CSI2,4-lane 1080p60 H.265, H.264 encoding 4K H.264/H.265/VP9 60fps […]

January 9, 2020 by Stephen Vicinanza - 4 Comments

Lattice Introduces CrossLink-NX FPGA for Edge AI & Embedded Vision

Lattice CrossLink-NX FPGA Lattice Semiconductor has announced the first product associated with its Nexus Platform, the CrossLink-NX FPGA designed for embedded vision and Edge AI applications. There are two offerings at this time, the CrossLink-NX FPGA 17, and the CrossLink-NX FPGA 40. Recent Announcements The Nexus Platform was introduced at the beginning of December 2019, and now CrossLink-NX has been developed and is being manufactured. The first announcements of Lattice Nexus Platform and The CrossLink-NX Product Family came as the company’s moved to capture the embedded vision systems market. The Standout Features The low-power consumption, low soft error immunity, and 10Gbps MIPI are highlights of the CrossLink-NX FPGA. Other features include Instant On, with IO configured in 3 ms, and a total of 8 ms for the device. The Cross-Platform FPGAs The trends in technology are leading to devices that can cross function in a number of different tech environments. […]

December 29, 2019December 29, 2019 by Ayo Ayibiowu - No Comments

NanoVision & NanoBerry Miniature Computer Vision Evaluation Kits Released For Arduino & Raspberry Pi Platforms

NanoVision and NanoBerry evaluation kits

AMS (Austria Mikro Systeme) known for their array for micro sensing solutions and most importantly the NanEye, a Miniature CMOS image sensor which is designed for applications where size is a critical factor has also launched a set for evaluation kits called the NanoVision and the NanoBerry for the development of solution based on the AMS NanEyeC miniature image sensor. NanEyeC Camera Sensor The NanEyeC comes in a footprint of just 1mm x 1mm surface mount, and it can produce 100kpixel resolution up to 58 frames/s. It seems the NanEyeC is based on the NanEye series, which typical (NanEye) features a 249×250 resolution with a high sensitive 3um x 3um rolling shutter pixel and capable of a high frame rate of about 43fps to 62fps. The NanEyeC sensor is based on the high-speed LVDS data interface. The sensor is assembled with a unique lens and cover glass, which fits in […]

December 26, 2019June 9, 2020 by Siji Sunny - No Comments

MediaPipe is an Open Source Perception Pipeline Framework Developed by Google

MediaPipe is an open-source perception pipeline framework introduced by Google, which helps to build multi-modal machine learning pipelines. A developer can build a prototype, without really getting into writing machine learning algorithms and models, by using existing components. This framework can be used for various vision & media processing applications (especially in VR) such as Object Detection, Face Detection, Hand Tacking, Multi-hand Tracking and Hair Segmentation. MediaPipe supports various hardware and operating system platforms such as Android, iOS & Linux by offering API’s in C++, Java, Objective-c, etc. And this framework also capable of utilizing GPU resources. MediaPipe Components The framework is comprised of three major components A framework for inference from the pipeline data Tools for evaluation And a collection of reusable inference and processing components It follows the approach of Graph-based frameworks in OpenCV and all processing happens with the context of the Graph. The Graph contains a […]

October 11, 2019October 11, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Intrinsyc Unveils Open-Q 845 µSOM and Snapdragon 845 Mini-ITX Development Kit

Intrinsyc introduced the first Qualcomm Snapdragon 845 hardware development platform last year with its Open-Q 845 HDK designed for OEMs and device makers. But the company has now just announced a solution for embedded systems and Internet of Things (IoT) products with Open-Q 845 micro system-on-module (µSOM) powered by the Snapdragon 845 octa-core processor, as well as a complete development kit featuring the module and a Mini-ITX baseboard. Open-Q845 µSOM Specifications: SoC – Qualcomm Snapdragon SDA845 octa-core processor with 4x Kryo 385 Gold cores @ 2.649GHz + 4x Kryo 385 Silver low-power cores @ 1.766GHz cores, Hexagon 685 DSP, Adreno 630 GPU with OpenGL ES 3.2 + AEP (Android Extension Pack), DX next, Vulkan 2, OpenCL 2.0 full profile System Memory – 4GB or 6GB dual-channel high-speed LPDDR4X SDRAM at 1866MHz Storage – 32GB or 64GB UFS Flash Storage Connectivity Wi-Fi 5 802.11a/b/g/n/ac 2.4/5Ghz 2×2 MU-MIMO (WCN3990) with 5 GHz […]