Orbbec Persee+ 3D AI camera runs Ubuntu or Android on Amlogic A311D processor

Orbbec Persee+ 3D AI camera

Orbbec Persee+ is a 3D depth camera running Linux with AI capabilities thanks to Amlogic A311D hexa-core processor equipped with a 5 TOPS NPU (Neural-network Processing Unit). The Persee+ is designed to help researchers, engineers, and hobbyists implement advanced uses for 3D imaging. Orbbec has been around for several years with the first product we covered here being the Orbbec Persee 3D depth camera running Ubuntu or Android on Rockchip RK3288 processor and unveiled in 2015. Last year, the company introduced the Zora P1 Amlogic A311D development board for Orbbec 3D cameras, so in a way, the Orbbec Persee+ is born from the work done on the Persee camera and Zora P1 over the years. Orbbec Persee+ 3D AI camera specifications: SoC – Amlogic A311D hexa-core processor with 4x Cortex-A73 cores, 2x Cortex-A53 cores, Arm Mali-G52MP4 GPU, 5 TOPS NPU System Memory – 4GB RAM Storage – 8GB (specs) / […]

reComputer Jetson mini PCs feature Jetson Nano or Xavier NX modules

recomputer jetson mini pc

Seeed Studio’s reComputer Jetson series mini PCs are built around NVIDIA Jetson Nano or Xavier NX system-on-module and designed for Edge AI applications. Four models have been designed with the Jetson-10-1-A0 mini PC equipped with a carrier board of the same name and Jetson Nano module, while the Jetson A206 carrier board is integrated into Jetson-10-1-H0 also with Jetson Nano, as well as Jetson-20-1-H1 and Jetson-20-1-H2 based on Jetson Xavier NX with 8GB and 16GB RAM respectively. Jetson-10-1-A0 mini PC and carrier board Specifications: Jetson Nano SoM CPU – Quad-core Arm A57 processor @ 1.43 GHz GPU – Maxwell GPU with 128 CUDA cores System Memory  – 4 GB 64-bit LPDDR4 25.6 GB/s Storage – 16 GB eMMC 5.1 Flash Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x […]

OASIS – ROS 2 based Smart Home operating system integrates with Kodi

OASIS Kinect 2 computer vision

OASIS is a Smart Home operating system based on ROS 2 that currently implements computer vision, input streaming, and general automation features, and can be integrated into Kodi media center. The operating system was recently released by Garrett Brown (a.k.a. garbear or eigendude), who is also known for being the RetroPlayer developer from Team Kodi/XBMC, and provides a complete implementation of the Firmata protocol for communicating with Arduino boards, plus additional support for temperature and humidity sensors, I2C, servos, sonar, SPI, stepper motors, and 4-wire CPU fans. Two main use cases are computer vision and input streaming at this time. The illustration above shows the former with the Kinect 2 driver ported to ROS 2, a background subtractor on all camera feeds using bgslibrary C++ background subtraction library, and Kodi as the visual interface. The second, input streaming, can be seen below with a Lego train (including a Falcon spaceship!) […]

Tiny Jetson Xavier NX mini PC gets AI-powered Oosto video analytics software

Oosto Vision AI Appliance

The Oosto Vision AI Appliance is a palm-sized “near-edge” device based on the NVIDIA Jetson Xavier NX system-on-module and running the company’s neural network models for video analytics that are optimized to support low-power devices, as opposed to servers with powerful GPUs. It’s not actually a new device, as the light gold color of the enclosure below looks like a model from AAEON, and indeed, it looks just like the AAEON BOXER-8251AI embedded box PC. That most probably means AAEON provides the hardware, and Oosto installs their video analytics software unto the device. It’s still interesting to look into the announcement, and Oosto has a TCO calculator that will put into context the cost involved in specialized B2B or B2G (business-to-government) solutions.   Oosto video analytics software appears to focus on facial recognition for touchless access control and to help law enforcement apprehend suspects (from a watchlist) and help de-escalate […]

Quadric devkit features q16 hybrid AI, DSP, computer vision accelerator

Quadric devkit Raspberry Pi CM4

The Quadric devkit is an M.2 Key M module equipped with the company’s q16 edge processor offering a hybrid data-flow + Von Neumann machine for not only neural networks, but also computer vision, digital signal processing, BLAS (Basic Linear Algebra Subprograms), and other workloads. This architecture allows the Quadric q16 to be more flexible than traditional AI accelerators and can deliver more effective solutions for heterogonous systems that may have multiple accelerators or require a powerful processor. The M.2 form factor enables easy integration into boards with an M.2 Key M socket such as the Gumstix Raspberry Pi 4 development board shown below with the Quadric devkit. Quadric devkit specifications: Accelerator – Quadric q16x4 Processor with 256 Vortex Cores, 8 MB on-chip memory, 4 kB per core memory, multi-precision multiply accumulate; 16 x 16mm package Memory – 4GB LPDDR4, 32-bit, dual-rank up to 3677 MHz Host Interface – 2-lane PCIe […]

BIVROST Lite5 mini-STX motherboard takes up to 96GB RAM for machine vision applications


BIVROST, a manufacturer of solutions in the field of image analysis and live video streaming, has just introduced the Lite5 mini-STX motherboard powered by an Intel Core Coffee Lake processor, and targeting machine vision, digital signage, security, video streaming, and other edge computing applications. The board is fitted with Advantech SOM-5899 COM Express Basic Type 6 module that supports up to 96GB DDR4 ECC memory, while the carrier board offers two Gigabit Ethernet ports, twelve USB interfaces, dual HDMI 2.0 video output, plus five M.2 expansion sockets. BIVROST Lite5 specifications: SoC Intel i7-8850H 6-core/12-thread processor @ up to 2.6 GHz / 4.3 GHz (Turbo) with 9MB cache, 24 EU Intel UHD 630 graphics; 45W TDP Intel i5-8400H 4-core/8-thread processor @ 2.5 GHz / 4.2 GHz (Turbo) with 8MB cache, 24 EU Intel UHD 630 graphics; 45W TDP Some Xeon processors are also available upon request System Memory – Up to […]

Pockit modular Linux computer gets a Raspberry Pi CM4 upgrade

Pockit modular computer

We first wrote about the Pockit modular Linux computer with hot-plugging magnetic blocks about a year ago. The system was based on a STM32+ESP32 mainboard with a socket for an optional Raspberry Pi Compute Module 3 and included magnets and electrical contacts to snap and hot-plug modules/blocks while the computer is running. The developer (Anil Reddy) has made good progress with the project and added the option to use a Raspberry Pi CM4 with Pockit (provided you can find one) to improve performance, for example for computer vision. Other changes include support for AI accelerators, an improved dashboard, home automation integration, and more. Pockit now supports over 80 feature BLOCKS ranging from a rotary encoder to a microSD card reader to various camera types, an HDMI block, AI accelerators, and so on. All of which can be magnetically snapped while the computer is running, and automatically detected in the dashboard. […]

Lanner IIoT-I530 machine vision industrial PC comes with 6x PoE+ ports, dual 2.5GbE

machine vision industrial PC

Lanner IIoT-I530 is a fanless machine vision IPC (Industrial PC) powered by a choice of Intel Tiger Lake UP3 processors and equipped with six PoE+ or LAN ports for IP cameras, as well as two 2.5GbE ports. The embedded computer also comes with up to 64GB DDR4 RAM, two COM Ports, four USB 3.0 ports, dual HDMI output, digital inputs and outputs, as well as M.2 sockets for WiFi 6 or/and 5G connectivity, plus NVMe SSD storage. Lanner IIoT-I530 specifications: SoC – 11th Gen Intel Core Tiger Lake UP3 up to Core i7-1185GRE quad-core CPU @ 1.8 GHz / 4.4 GHz (Turbo) with Intel Iris Xe Graphics System Memory – Up to 64GB DDR4 3200 RAM via 2x 260-pin SO-DIMM sockets Storage 1x SATA with 2.5-inch drive bay for SSD/HHD 1x mSATA socket, 1x M.2 M-Key 2280 PCIe Gen4 x4 socket for NVMe SSD 256Mbit SPI Flash for AMI BIOS […]