congatec conga-STDA4 is a SMARC Computer-on-Module (CoM) based on Texas Instruments TDA4VM or DRA829J Jacinto 7 processor with two Cortex-A72 cores, six real-time Cortex-R5 cores for functional safety, accelerated vision and AI processing capabilities, and plenty of interfaces. The first Texas Instruments-powered CoM from the company is designed for industrial mobile machinery requiring near-field analytics, such as automated guided vehicles and autonomous mobile robots, construction and agricultural machinery, as well as any industrial or medical solutions requiring energy-efficient computer vision at the edge. conga-STDA4 specifications: SoC – Texas Instruments Jacinto 7 TDA4VM/DRA829J with Dual-core Arm Cortex-A72 up to 2.0 GHz 6x Arm Cortex-R5F cores @ 1.0 GHz up to 8 MB of on-chip L3 RAM 1x C7x DSP up to 80 GFLOPs 2x C66 DSPs up to 40 GFLOPs Up to 8 TOPS MMA AI accelerator PowerVR Rogue 8XE GE8430 3D GPU with support for OpenGL ES 3.1, OpenVX, OpenCL […]
NVIDIA Jetson powered SmartCow Ultron controller targets Smart Cities and autonomous infrastructure deployments (Sponsored)
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 […]
Nordic Semi nRF7002 DK low-power dual-band WiFi 6 IoT development kit launched for $56 and up
Nordic Semi nRF7002 DK is an IoT development kit based on the nRF5340 dual-core Cortex-M33 multi-protocol wireless SoC and nRF7002 companion chip adding low-power dual-band (2.4GHz and 5.0 GHz) WiFi 6 connectivity. When Nordic Semi introduced the nRF7200 dual-band WiFi 6 companion chip for nRF52840 and nRF5340 wireless SoCs and nRF9160 cellular IoT SiP last summer, the “nRF7002-PDK” development kit was only mentioned in passing with a 3D render and not much else. The company has now announced the availability of the nRF7002 DK to help developers create low-power Wi-Fi 6 IoT applications. nRF7002 DK specifications: Wireless MCU – Nordic Semi nRF5340 dual-core Arm Cortex-M33 microcontroller @ 128/64 MHz with 1 MB Flash + 512 KB RAM for the application core and 256 KB Flash + 64 KB RAM for the network core, Bluetooth 5.1 LE with direction-finding support, Bluetooth mesh, NFC, Thread, Zigbee, 802.15.4, ANT, and 2.4 GHz proprietary […]
Eduponics Mini v2.0 Smart Agriculture IoT kit gets more flash, new sensors, 4-channel valve board (Crowdfunding)
Eduponics Mini v2.0 is a Smart Agriculture IoT kit based on the ESP32 wireless microcontroller with built-in sensors to measure temperature, humidity, barometric pressure, and ambient light, and interfaces to connect water level and soil moisture sensors. The new board builds upon the Eduponics Mini introduced two years ago, but based on the 8MB flash version of the ESP32-WROVER-B module, a different mix of sensors, a BM8563 RTC module replacing the DS1307 RTC chip, and the addition of Grove connectors for external sensors from companies such Elecrow. Eduponics Mini v2.0 specifications with highlights in bold or strikethrough showing the differences with the first revision of the board: Wireless module – ESP32-WROVER-B module with ESP32 Wi-Fi and Bluetooth SoC, 8MB QSPI flash loaded with MicroPyhon firmware, 8MB SPRAM, PCB antenna Built-in sensors BH1750 I2C light sensor Footprint for BME280 I2C temperature, humidity, and barometric sensor QMP6988 I2C Barometric air pressure sensor […]
Arduino Plant Watering Kit combines Nano RP2040 Connect with moisture sensor and submersible pump
You’ve probably seen a few plant watering projects based on Arduino over the years, and now the company has decided to launch its own Arduino Plant Watering Kit based on the Arduino Nano RP2040 Connect board and everything you need to get started to water your indoor plants. Arduino Plant Watering Kit content: Arduino Nano RP2040 Connect board (ABX00053) with Raspberry Pi RP2040 MCU, ESP32 module for WiFi, and Bluetooth LE connectivity. Arduino Nano Screw Terminal Adapter (ASX00037) Open-ended USB cable with on/off switch 5V submersible pump 1-meter of plastic hose Grove moisture sensor Grove relay module with cable Grove LED button module with cable Grove cables 50 cm 10x Jumper wires (15 cm) 12x screw connectors Simply connect the moisture sensor and the water pump (through the relay) to the Nano RP2040 Connect board, insert the moisture sensor in a flower pot, and put the pump in a recipient […]
TI unveils ULC1001 ultrasonic lens cleaning chip for self-cleaning cameras
Texas Instruments (TI) has introduced the ULC1001 digital signal processor (DSP) ultrasonic lens cleaning (ULC) technology designed – when combined with DRV2901 piezo transducer driver – for self-cleaning camera systems to quickly detect and remove dirt, ice, and water using microscopic vibrations. Cameras used in the automotive, industrial, robotics, and smart farming industries may require cleaning from time to time and that usually means manual cleaning leading to potential downtime, higher maintenance cost, and so on. It could also be done through mechanical parts but that adds further complexity to the system, so instead, Texas Instruments ULC1001 and DRV2901 combo enables cameras to rapidly self-clear contaminants using vibrations to eliminate debris. The datasheet describes the ULC1001 as a “Configurable Ultrasonic PWM Modulator With I/V Sense Amplifiers” with the following specifications: Integrated Programmable Cleaning Modes Water (expelling) Deice (melting and expelling) Mud (dehydrating and expelling) Auto-Cleaning (detecting and expelling) Custom Cleaning […]
ROCK Base triple-frequency RTK/GNSS base station works with Web3 GEODNET decentralized network
ROCK Robotic has announced the ROCK Base triple-band multi-constellation RTK/GNSS base station that works with the Web3 GEODNET decentralized GNSS reference network, with the solution designed to offer centimeter accuracy to support applications such as civil surveying, high-definition mapping, digital twin creation, and robotic solutions. Real-time Kinematic (RTK) is a relative positioning technique relying on GNSS (GPS, Galileo, GLONASS, Beidou …) and allowing centimeter positioning accuracy. The technique requires an RTK “Base station” like the ROCK Base and a lower-cost “Rover station” typically attached to a vehicle or drone. For higher accuracy, it’s also possible to use a Network RTK: Network RTK is based on the use of several widely spaced permanent stations. Data from reference stations is combined in a common data processing in a control center. The control center computes corrections for the spatially correlated errors within the network. These corrections are transmitted to the rover. Comparing to […]
reComputer J4012 mini PC features NVIDIA Jetson Orin NX for AI Edge applications
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 […]