artificial intelligence News - Page 36 of 101 - CNX Software

June 21, 2022February 10, 2023 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Ingenic T31-based WiFi AI camera development kit promises over a year of battery life

Ingenic T31 AI camera devkit one-year battery life

We’ve previously seen WiFi security cameras promising a year of battery life with products like the Eufy EverCam, but the Ingenic T31-based Smart Video Application Development Kit by Innophase may allow for the development of even more power-efficient WiFi AI security cameras with AI processing last can last over one year. The development kit combines Ingenic T31 MIPS & RISC-V camera SoC with Innophase Talaria TWO INP101x ultra-low-power (57µA @ DTIM10) Wi-Fi & BLE wireless module, that is estimated to last 14.4 months on a 3,000 mAh battery while operating at a 99.3% idle, 0.7% video capture ratio. Development kit content: Board with Ingenic T31 MIPS processor @ 1.5 GHz and RISC-V low-power core, H.265 encoder, 512Mbit or 1Gbit on-chip memory fitted with 2M pixel Full-HD camera @ 30fps USB Debug board Microphone and speaker InnoPhase Talaria TWO SDIO Adapter Board Fitted with INP1014 LGA module with 2.4GHz WiFi 4, […]

June 21, 2022June 21, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Vecow unveils MediaTek Genio 350, Genio 500, and Genio 1200 system-on-modules and development kits

Vecow has announced a series of new system-on-modules and development kits based on Mediatek Genio 350, Genio 500, or Genio 1200 processors for AIoT applications ranging from smart security, smart retail, and traffic vision to digital signage. This follows last week’s news about ADLINK LEC-MTK-I12000 SMARC module and devkit powered by MediaTek Genio 1200 Cortex-A78/A55 AIoT processor, but Vecow also offers solutions based on the entry-level Genio 350 quad-core Cortex-A53 processor, and the mid-range Genio 500 octa-core Cortex-A73/A53 processor. ESOM-MT-350 Genio 350 system-on-module and devkit Specifications: SoC – MediaTek Genio 350 quad-core Cortex-A53 processor @ 2.0GHz with Mali-G52 GPU with support for OpenGL ES 3.2, OpenCL ES 2.0, and Vulkan 1.1, 1080p60 H.265/H.264 video decoder System Memory – 2GB LPDDR4 SDRAM Storage – 16GB eMMC flash Wireless – MT7668 WiFi 5 and Bluetooth 4.2 module with IPEX connector Audio – MediaTek MT6390/6357 audio codec Debugging – On-module debug console port […]

June 20, 2022June 20, 2022 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

Think Silicon NEOX RISC-V GPU offers 3D graphics or AI acceleration

Think Silicon NEOX GPU family with models optimized for graphics (NEOX|G) or artificial intelligence (NEOX|A) is based on the RISC-V RV64C ISA instruction set with adaptive NoC, and offers up to 64 cores delivering up to 409.6 GFLOPS at 800MHz with support for FP16, FP32 and optionally FP64 and SIMD instructions. The NEOX GPUs can be integrated into microcontrollers, crossover processors, and even more powerful application processors, and target AI, IoT/Edge, and media processing in consumer and industrial devices. Each shader of the GPU is a programmable 64-bit RISC-V (RV64GC) core running a real-time operating system (RTOS) and the GPU is supported by lightweight graphics and machine learning frameworks. The multi-threaded GPU system can be customized for graphics, machine learning, vision/video processing, and general-purpose compute (GPGPU) workloads. The solution is meant to be integrated into 32-bit SoCs designed for smartwatches, augmented reality (AR) eyewear, video surveillance, and smart display terminals […]

June 15, 2022June 21, 2022 by Jean-Luc Aufranc (CNXSoft) - 13 Comments

BeagleBone AI-64 SBC features TI TDA4VM Cortex-A72/R5F SoC with 8 TOPS AI accelerator

BeagleBone AI-64 is a single board computer (SBC) powered by a Texas Instruments TDA4VM dual-core Cortex-A72 + hexa-core Cortex-R5F processor which also embeds an 8 TOPS AI accelerator, plus three DSP, as well as plenty of I/Os that makes it ideal for advanced AI industrial applications. It follows the BeagleBone-AI SBC launched in 2019, but with much higher specs including a 64-bit Arm processor, 4GB RAM, three USB 3.0 ports, an M.2 E-Key socket with PCIe, USB and SDIO, plus the usual expansion headers that keep compatibility with existing BeagleBone cape add-on boards. BeagleBone AI-64 specifications compared to BeagleBone-AI and BeagleBone Black boards: Another notable change is that a mini DisplayPort has now replaced the micro HDMI port found in earlier boards. The TDA4VM SoC comes with many co-processors, so it will be interesting to see how well those are supported in the software. BeagleBoard.org provides Debian 11.3 with […]

June 7, 2022January 22, 2023 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

TI Sitara AM623 & AM625 Cortex-A53 SoCs offer low-power AI for HMI and IoT applications

Texas Instruments has just launched the new Sitara AM62 family with AM623 and AM625 single to quad-core Cortex-A53 processors designed to provide IoT gateways and HMI applications with AI processing at low power, in some cases with up to 50% reduction in power consumption. The AM623 processor specifically targets Internet of Things (IoT) applications and gateways that may benefit from object and gesture recognition, while the AM625, equipped with a 3D GPU, should power HMI applications with edge AI and up to two full-HD displays. Sitara AM623 and AM625 processors Sitara AM623/AM625 key features and specifications: CPU – Single, dual, or quad-core Arm Cortex-A53 processor @ up to 1,400 MHz with 512KB L2 shared cache, plus 32KB I+D cache per core Co-processor – 1x Arm Cortex-M4F real-time core at up to 400 MHz with 256KB SRAM with SECDED ECC GPU (AM625 only) – Unnamed 3D GPU with support for OpenGL […]

June 6, 2022June 6, 2022 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

Robot cat girl doll leverages Khadas VIM3 SBC for AI-accelerated object detection/tracking

While Khadas VIM4 board has just been launched, the earlier Khadas VIM3 SBC has the advantage of featuring a 5 TOPS NPU that’s being leveraged by Lilium Robotics for their humanoid robots, notably the Lily Delta V7 robot cat girl doll using the Amlogic A311D board to control motors and provide AI features such as face and object detection and tracking. The Delta V7 is offered as an Android kit running Linux (Android refers to humanoid robot here) with a full motorized body kit, a head with a dual camera and sound system, accessories like a dress, wig, cat ears and tail, and other features that are more geared towards the adult crowd… Content of the Lily Delta V7 full Android kit: Full motorized body kit Motorized arms, legs, and torso with wide movement range Arms can support 0.5 kg payload 100 cm high, weighs about 5 kilograms Inserts: Face, […]

May 31, 2022May 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

4K USB AI camera is powered by Rockchip RV1126 SoC with 2.0 TOPS NPU

ThinkCore TC-RV1126 is a USB AI camera powered by Rockchip RV1126 quad-core Cortex-A7 processor with a 2.0 TOPS NPU and equipped with a Sony Starvis IMX415 CMOS image sensor with 4K resolution (3840 x 2160). The Linux-powered camera module features a USB Type-C port compatible with UVC & UAC protocols so that it can work without drivers on Windows, Android, Linux, Mac OS, and most other operating systems with a USB stack. TC-RV1126 camera specifications: SoC – Rockchip RV1126 quad-core Arm Cortex-A7 @ 1.5 GHz + RISC-V MCU @ 400 MHz, 2D graphics engine, 2.0 TOPS NPU with support for INT8/ INT16, 14M ISP System Memory – 2x DDR3 chip (128M x 16), so that should be 512MB RAM (TBC) Storage – 1 Gbit (128MB) SPI NAND flash Camera Image sensor – Sony Starvis IMX415 1/2.8-inch 8MP CMOS sensor with night vision Capture up to 3840×2160 @ 30 fps Supported […]

May 28, 2022May 28, 2022 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

RZBoard V2L – A business card-sized Renesas RZ/V2L SBC for AI vision applications

Avnet RZBoard V2L is an Arm Linux SBC for AI vision applications that’s about the size of a business card (or a Raspberry Pi), and powered by a Renesas RZ/V2L Cortex-A55/M33 processor with an on-chip DRP-AI accelerator. The board also comes with 2GB DDR4, 32GB eMMC flash, 16MB QSPI flash, Gigabit Ethernet, WiFi 5 and Bluetooth 5.0, multiple USB ports, MIPI DSI/CSI interfaces, as well as a Pi HAT compatible 40-pin GPIO header. RZBoard V2L specifications: SoC – Renesas RZ/V2L with 2x Arm Cortex A55 cores @ up to 1.2 GHz, 1x Arm Cortex M33 real-time core @ 200 MHz, Arm Mali G31 GPU @ 500MHz, DRP-AI accelerator, DRP Simple ISP (full HD), and a H.264 Hardware Video Enc/Dec (full HD) System Memory – 2GB DDR4 (16-bit with ECC) Storage 32GB eMMC flash 16MB QSPI NOR Flash MicroSD card socket Video Output – MIPI DSI and HDMI (selectable) Camera I/F […]