Orbbec Femto Bolt 3D depth and RGB USB-C camera supports Microsoft ToF technology

Orbbec Femto Bolt

Orbbec Femto Bolt is a 3D depth and RGB USB-C camera developed in collaboration with Microsoft and integrating the same ToF (Time-of-Flight) technology as found in the Microsoft Azure Kinect camera module and HoloLens 2 mixed reality head-mounted display. The new model follows the launch of the fully integrated Femto Mega featuring an NVIDIA Jetson Nano module introduced in January with the same ToF technology, so the new USB-C camera simply allows a wider selection of hosts. Orbbec has also launched the Femto Mega I variant with an IP65 metal enclosure. Orbbec Femto Bolt specifications: Cameras Depth camera 1 Mega Pixel ToF sensor 850nm wavelength 0.25 to 5.45m range depending on the depth mode Up to 1024×1024 @ 15 fps (WFoV) or 640×579 @ 30 fps (NFoV) FoV Wide – H: 120°; V: 120° Narrow – H: 75°; V: 65° RGB camera 4K resolution up to 3840×2160 @ 25 fps […]

Turing RK1 RK3588 system-on-module for cluster boards is now available (for pre-order)

Turing RK1 RK3588 SoM

Turing Pi has been making mini-ITX cluster boards for Raspberry Pi CM4 and NVIDIA Jetson modules for over four years, but last year, the company teased their own Turing RK1 system-on-module based on a powerful Rockchip RK3588 Arm processor with 6 TOPS NPU while launching the Turing Pi 2 cluster board on Kickstarter and raising over 2 million dollars in the process. The Turing RK1 is now available for pre-order with the 8GB RAM going for $130, the 16GB model for $170, and you’d have to spend $260 if you need 32GB RAM. Most people will probably want to add $10 to purchase the RK1 heatsink with a built-in fan as well. Pre-orders are expected to start shipping on October 27. Turing RK1 specifications: SoC – Rockchip RK3588 CPU – Octa-core processor with 4x Arm Cortex-A76 @ 2.4 GHz, 4x Arm Cortex-A55 @ 1.8 GHz GPU – Arm Mali-G610 MP4 […]

8K 50MP camera module targets NVIDIA Jetson, Raspberry Pi, and RK3588 boards (Crowdfunding)

50MP camera Raspberry Pi 4

RBTS.co’s C50M camera module is equipped with the same 8K 50MP Samsung ISOCELL GN2 image sensor found in the upcoming Google Pixel 8 Pro smartphone but targets the maker market with support for NVIDIA Jetson, Raspberry Pi, and Rockchip RK3588 boards. With high-resolution and quick focusing ability, this camera sensor is designed for drones, machine vision, and industrial automation applications such as automated optical inspection and preventive maintenance, and the large 1.4μm pixels of the Samsung ISOCELL GN2 sensor are said to make the camera work well in low-light conditions. C50M camera module specifications: Effective Resolution – 8,160 x 6,144 (50MP) Pixel Size – 1.4μm (2.8μm with 12.5MP binning) Optical Format – 1/1.12″ sensor Color Filter – Dual Tetrapixel RGB Bayer Pattern Frame Rate – 30fps @ 50MP, 120fps @ 4K and 480fps @ FHD ADC Accuracy – 10-bits Chroma – Tetra Auto Focus – Dual Pixel Pro (PDAF); range: […]

NVIDIA Jetson AGX Orin Industrial offers ECC memory, extended temperature range, improved robustness

NVIDIA Jetson AGX Orin Industrial

NVIDIA has recently introduced the Jetson AGX Orin Industrial module that comes with an extended temperature range, operating lifetime, shock and vibration specifications, as well as support for error correction code (ECC) memory, and delivers up to 248 TOPS of AI performance with power configurable between 15-75 W. The industrial-grade system-on-module is based on the Jetson AGX Orin 64GB module but with lower operating frequencies to enable a longer operating lifetime and improved endurance. It’s form-factor and pin-compatible with Jetson AGX Orin, and NVIDIA says it delivers more than eight times the AI performance of the 30 TOPS Jetson AGX Xavier Industrial introduced in 2021, but does not integrate Cortex-R5F cores. NVIDIA Jetson AGX Orin Industrial specifications: CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.0 GHz with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2,048 NVIDIA CUDA cores and 64 Tensor […]

Pocket AI – A portable NVIDIA RTX A500 eGPU for AI developers, embedded & industrial applications

Pocket AI NVIDIA RTX 500 eGPU

We’ve previously seen it’s possible to connect an eGPU to a mini PC through a PCIe x16 to M.2 NVMe adapter or a Thunderbolt 3 port, but while it’s fine to install on your desk for gaming or develop AI applications, the eGPU being larger than most mini PCs, it’s a little too big to integrate into products, and potentially inconvenient to carry around. ADLINK Pocket AI portable eGPU changes that with an NVIDIA RTX A500 GPU housed in a 106 x 72 x 25mm box that’s about the size of a typical power bank and connects to a host through a Thunderbolt 3 connector. The company says the upcoming eGPU is mostly designed for AI developers, professional graphics users, and embedded industrial applications, but can also be for gaming. Pocket AI specifications: GPU – NVIDIA RTX 500 Architecture – NVIDIA Ampere GA107 Base clock: 435 MHz Boost clock: 1335 […]

$499 NVIDIA Jetson Orin Nano Developer Kit delivers up to 80x Jetson Nano Devkit performance

NVIDIA Jetson Orin Nano Developer Kit

NVIDIA Jetson Orin Nano Developer Kit is an upgrade to the popular Jetson Nano Developer Kit that delivers 80 times the performance, up to 50 times the performance per watt, and gives the developers the ability to design entry-level AI-powered robots, smart drones, intelligent vision systems, and more. The Jetson Orin Nano has a similar form factor as the original Jetson Nano, but is fitted with a Jetson Orin Nano 8GB module with up to 40 TOPS AI performance, and is equipped with a DisplayPort video output, USB 3.2 Gen 2 ports, two M.2 Key M sockets for SSDs, Gigabit Ethernet, a pre-installed Wi-Fi module, and connectors for cameras. NVIDIA Jetson Orin Nano Developer Kit specifications (compared to Jetson Nano Developer Kit-B01) The new developer kit is supported by the Ubuntu 20.04-based NVIDIA JetPack 5.1.1 SDK, as well as application-specific frameworks such as NVIDIA Isaac ROS and DeepStream, which are […]

NVIDIA Jetson powered SmartCow Ultron controller targets Smart Cities and autonomous infrastructure deployments (Sponsored)

SmartCow Ultron

SmartCow, an AI engineering company specializing in video analytics, AIoT devices, and smart city solutions, and an NVIDIA Metropolis partner, has released a new version of the Ultron controller. Smartcow Ultron is an AI-enabled controller with sensor fusion capabilities that empowers industrial applications of vision AI at the edge. Powered by the NVIDIA Jetson Xavier NX system-on-module and compatible with Jetson Orin NX, Ultron is suitable for smart traffic and manufacturing that can leverage its high computing power and low latency for vision AI applications in various configurations. It is also applicable in smart factories, smart cities, smart buildings, and smart agriculture. Ultron takes automation a step further than traditional PLC solutions with vision analysis. Based on powerful NVIDIA Jetson modules, Ultron can handle demanding visual AI processing workloads, with model architecture such as image classification, object detection, and segmentation. The new version of Ultron enhances the flexibility of its […]

reComputer J4012 mini PC features NVIDIA Jetson Orin NX for AI Edge applications

reComputer J4021 mini PC

reComputer J4012 is a mini PC or “Edge AI computer” based on the new NVIDIA Jetson Orin NX, a cost-down version of the Jetson AGX Orin, delivering up to 100 TOPS modern AI performance. The mini PC is based on the Jetson Orin NX 16GB, comes with a 128GB M.2 SSD preloaded with the NVIDIA JetPack SDK and offers Gigabit Ethernet, four USB 3.2 ports, and HDMI 2.1 output. Wireless connectivity could be added through the system’s M.2 Key E socket. reComputer J4012 / J401 specifications: SoM – NVIDIA Jetson Orin NX 16GB with CPU – 8x Arm Cortex-A78AE core @ up to 2.0 GHz with 2MB L2 + 4MB L3 cache GPU/AI 1024-core NVIDIA Ampere GPU with 32 Tensor Cores @ up to 918 MHz 2x NVDLA v2.0 @ 614 MHz PVA v2 vision accelerator 100 TOPS AI performance (sparse) Video Encoder  (H.265) 1x 4Kp60 | 3x 4Kp30 6x […]

UP 7000 x86 SBC