We’re seeing more and more computer vision products with built-in artificial intelligence accelerated features like face recognition or object detection including AI cameras, facial recognition systems, and AI NVR systems. It’s great as a consumer because of less frequent and more accurate alerts in security camera systems but more worrying as a citizen due to mass surveillance. But the trend is here to stay, and AAEON has just announced the UP Xtreme Smart Surveillance solutions powered by UP Extreme Whiskey Lake SBC with either an Intel Core i5-8365UE or Intel Core i7-8665UE processor, as well as two Intel Movidius Myriad X VPUs using OpenVINO SDK. The system also leverages Milestone video management software (VMS) and SAIMOS video analytics software. Based on the photo above, the hardware looks to be UPX-Edge Embedded Computer which we previously covered in details at launch last December. Instead of hardware, the focus of Up Xtreme […]
megaAI 4K AI Camera Board Features Movidius Myriad X VPU (Crowdfunding)
megaAI 4K AI camera board reminds me of Kendryte K210 based boards such as Maixduino used for computer vision for tasks such as object tracking or face recognition, but instead of just handling QVGA at around 15 to 18 fps, megaAI can supports inference at 4K resolution up to 30 fps. The tiny board can achieve this feat by leveraging the 4 TOPS of AI processing power delivered by Intel Movidius Myriad X VPU (Vision Processing Unit) while consuming only around 2.5 Watts. megaAI board specifications: AI Accelerator – Intel Movidius Myriad X VPU delivering up to 4 TOPS (Trillion Operations Per Second) Camera – 12 MP 4056×3040 Auto-Focus (8cm-∞) camera with 81 degrees horizontal Field of View (HFOV) Video RAW Output – 4K @ 60FPS or 12MP @ 30FPS (with USB3.1 Gen2 Host) Hardware Image Encoding – 12 MP JPEG encoding Hardware Video Encoding: 4K H.265 encoding at 30 […]
iWave Systems i.MX8M Mini Devkit Targets Low-cost Facial Recognition Systems
iWave Systems i.MX8M Mini Board is a development platform based on an update versions of the company’s iW-RainboW-G34M-SM i.MX 8M Mini system-on-module and designed specifically for low-cost facial recognition systems thanks to NXP eIQ ML software, and MIPI display and camera. iWave Systems i.MX8M Mini (aka iW-RainboW-G34D) specifications: SoM SoC – NXP i.MX8M Mini Q/QL/D/DL/S/SL with up to 4x Cortex-A53 cores, 1x Cortex-M4F real-time core, Vivante 3D and 2D GPUs System Memory – 1GB LPDDR4 (Expandable up to 4GB) Storage – 8GB eMMC Flash (Expandable), optional 2MB QSPI Flash optional Micro SD slot Wireless – Dual-band 802.11a/b/g/n/ac WiFi 5 and Bluetooth 5.0. PMIC – BD71847AMWV i.MX8M SODIMM Carrier Board Storage – MicroSD slot Display I/F – MIPI DSI display connector Camera I/F – MIPI CSI camera connector Audio – Audio codec, 3.5mm Line In/Out jack Networking – Up to 2x Gigabit Ethernet ports (One is Optional) USB – 2x USB […]
Advantech Edge AI Computer and PoE NVR Feature NVIDIA Jetson Xavier NX SoM
Following the launch of NVIDIA Jetson Xavier NX SoM last year, we noted several third-party carrier boards and embedded PCs had been announced, and we expected more to come soon. Advantech has now unveiled two systems based on NVIDIA latest module with respectively MIC-710AIX edge AI computer and MIC-710IVX NVR system equipped with eight PoE ports. MIC-710AIX edge AI computer Specifications: SoM – NVIDIA Jetson Xavier NX with 6-core NVIDIA Carmel ARM v8.2 64-bit CPU, 6MB L2 + 4MB L3 caches 384-core NVIDIA Volta GPU with 48 Tensor Cores 2x NVDLA deep learning accelerators System Memory – 8GB 128-bit LPDDR4x Storage – 16 GB eMMC 5.1 flash Storage – M.2 2280 Key-M socket for SSD; SD card socket Video Output – HDMI up to 3840×2160 @ 60 Hz Networking – 2x Gigabit Ethernet (RJ45) via Intel i210IT controller USB – 1x USB 3.0 host port, 1x USB 2.0 host port, […]
MARK AI Robot Kit Aims to Teach AI & Robotics to 12+ Years Old (Crowdfunding)
We’ve written about Kendryte K210 RISC-V AI processor, and Sipeed M1 module several times including in our getting started for Maixduino and GroveAI HAT boards for low-power AI inference such as object recognition or face detection using Arduino and Micropython programming. Shenzhen-based Tinkergen, a STEM Education owned by Seeed Studio, has now leveraged the low-cost processor to design MARK AI robot kit, where MARK stands for Make A Robot Kit, in order to processor an educational AI Robotics platform for children ages 12 years old and more. MARK will ship as a kit with the main parts and components including a chassis, a cover, two wheels, stepper motors, a pan-tilt camera with K210 processor, a 2.4″ LCD display, Grove & Arduino compatible MARKduino interface board, some sensors, and six AA batteries. Tinkergen offers pre-trained model to recognized objects like humans, books, pens, or smartphones, as well as traffic signs, numbers […]
NVIDIA Jetson Developer Kits Comparison – Nano vs TX2 vs Xavier NX vs AGX Xavier
NVIDIA launched the Jetson Xavier NX developer kit yesterday, and I included a short comparison table in the announcement between Jetson Nano, TX2, Xavier NX, and AGX Xavier developer kits. But I thought it might be worthwhile to have a more detailed comparison in a separate post, so here we are. As expected, usually the more you spend on a board, the better the performance and features. The exception is Jetson TX2 which’s the same price as the new Jetson Xavier NX devkit but delivers about a fifth of the FP16 AI performance. So as today, there’s little reason to buy a TX2 board for a new project unless you need some of the required features that are missing on Xavier NX. Jean-Luc Aufranc (CNXSoft)Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and […]
NVIDIA Introduces Jetson Xavier NX Developer Kit, and Cloud-Native Support
NVIDIA Jetson Xavier NX SoM was launched last month for $459. But while some third-party carrier boards were also announced at the time, the company had yet to offer Jetson Xavier NX Developer Kit as they did for Jetson Nano. But as GTC 2020 conference is now taking place in the kitchen of Jensen Huang, NVIDIA CEO, the company had plenty to announce including Jetson Xavier NX Developer Kit as well as “Cloud-Native” support for all Jetson boards and modules. NVIDIA Jetson Xavier NX Developer Kit Specifications: CPU – 6-core NVIDIA Carmel ARMv8.2 64-bit processor with 6 MB L2 + 4 MB L3 cache GPU – NVIDIA Volta architecture with 384 NVIDIA CUDA cores and 48 Tensor cores Accelerators 2x NVDLA Engines 7-Way VLIW Vision Processor Memory – 8 GB 128-bit LPDDR4x 51.2GB/s Storage – MicroSD slot, M.2 Key M socket for NVMe SSD Video Output – HDMI and DisplayPort […]
AI Network Video Recorder Combines Intel Atom X5 E3940 SoC, Two Myriad X VPUs, and Five Ethernet Ports
AAEON seems to launch a new “AI Embedded Box PC” monthly either equipped with an NVIDIA Jetson module or a solution combining an Intel processor and a Myriad X VPU card. Here’s another one with AAEON VPC-3350AI AI edge computer powered by an Intel Atom X5 E3940 Apollo Lake processor, as well as two Myriad X VPUs for AI acceleration, and equipped with five Ethernet ports – four of which supporting PoE – to get video data from IP cameras or other networked video sources that makes it especially suitable as an AI network video recorder. VPC-3350AI specifications: SoC – Intel Atom X5-E3940 quad-core Apollo Lake processor @ 1.6 GHz / 1.8 GHz with 2 MB cache, 12 EU Intel UHD graphics; 9.5W TDP; Option for Celeron N4200/N3350 and X5-E3950) System Memory – Up to 8GB, DDR3L via 204-pin SODIMM socket Storage – 1x SATA port for 2.5″ drives AI […]