It is an MCU-based vision AI module powered by Arm Cortex-M55 & Ethos-U55. TensorFlow and PyTorch frameworks are supported. Compatible with Arduino IDE and no code model deployment and immediate visualization of identification results with SenseCraft AI.

AI Brick Phone Mic

AI Brick Phone AMP

AI Brick Phone ADC

It is an MCU-based vision AI module powered by Arm Cortex-M55 & Ethos-U55. TensorFlow and PyTorch frameworks are supported. Compatible with Arduino IDE and no code model deployment and immediate visualization of identification results with SenseCraft AI.

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.

Seeed Studio XIAO ESP32S3 Module Integration (Camera-Free)

The XIAO RP2350 packs the power of the Raspberry Pi RP2350 (switchable architecture of dual Arm Cortex-M33 cores running at 150MHz with FPU, and dual open-hardware Hazard3 RISC‑V cores, enhanced security and encryption) into the classic XIAO form factor. Measuring just 21x17.5mm, it features 19 multifunction GPIOs, an RGB LED, and a Battery Management System with ultra-low power consumption of 27μA, battery power supply, and direct battery voltage measurement. Thanks to the XIAO ecosystem, the XIAO RP2350 is compatible with a wide range of add-ons, including displays, LED matrix, Grove modules, CAN Bus, Vision AI sensors, and mmWave sensors. With native support for MicroPython, C, and C++, the XIAO RP2350 is perfect for developers of all levels looking to create compact, battery-powered applications for smart control, wearables, DIY keyboards, and more.

Coral Accelerator Module a solderable multi-chip module including the Edge TPU Coral Google Edge TPU and PMIC G313-06329-00 #AI #Coral #TensorFlow #google

Arduino Nicla Voice Integration with HDMI Output for Edge AI

6-axis IMU (inertial measurement unit) with high-g accelerometer, embedded AI, and sensor fusion for high-end applications, car crash detection Accelerometer, Gyroscope, Magnetometer, 6 Axis Sensor I2C, SPI Output #CommonPartsLibrary #IntegratedCircuit #Sensor #Transducer #Motion-Sensor #IMUs #LSM6

Seeed Studio XIAO ESP32S3 leverages dual-core ESP32S3 chip, supporting both Wi-Fi and BLE wireless connectivities, which allows battery charge. It integrates built-in camera sensor, digital microphone. It offers 8MB PSRAM, 8MB FLASH, and external SD card slot. All of these make it suitable for embedded ML, like intelligent voice and vision AI.

Seeed Studio XIAO ESP32S3 leverages dual-core ESP32S3 chip, supporting both Wi-Fi and BLE wireless connectivities, which allows battery charge. It integrates built-in camera sensor, digital microphone. It offers 8MB PSRAM, 8MB FLASH, and external SD card slot. All of these make it suitable for embedded ML, like intelligent voice and vision AI.

The Bosch BME688 is a state-of-the-art digital low power gas, pressure, temperature, and humidity sensor that integrates Artificial Intelligence (AI) capabilities, making it the first of its kind in the market. Housed in a compact 3.0 x 3.0 x 0.9 mm³ metal lid LGA package, it is designed to meet the demands of mobile and connected applications where size and power consumption are critical factors. The sensor is capable of detecting Volatile Organic Compounds (VOCs), volatile sulfur compounds (VSCs), carbon monoxide, and hydrogen in the part per billion (ppb) range. Building on the features of the BME680, the BME688 introduces a gas scanner function that enhances its sensitivity, selectivity, data rate, and power consumption for specific applications. With the help of Bosch AI-Studio tool, customers can train the BME688 gas scanner for their specific needs, making it an ideal choice for a wide range of applications including indoor air quality measurement, detection of bad breath or spoiled food, early odor detection, and smart home devices among others. The BME688 operates within a supply voltage range of 1.71 V to 3.6 V and offers various modes of operation to balance power consumption and measurement responsiveness, catering to both portable and stationary applications.

The XIAO RP2350 packs the power of the Raspberry Pi RP2350 (switchable architecture of dual Arm Cortex-M33 cores running at 150MHz with FPU, and dual open-hardware Hazard3 RISC‑V cores, enhanced security and encryption) into the classic XIAO form factor. Measuring just 21x17.5mm, it features 19 multifunction GPIOs, an RGB LED, and a Battery Management System with ultra-low power consumption of 27μA, battery power supply, and direct battery voltage measurement. Thanks to the XIAO ecosystem, the XIAO RP2350 is compatible with a wide range of add-ons, including displays, LED matrix, Grove modules, CAN Bus, Vision AI sensors, and mmWave sensors. With native support for MicroPython, C, and C++, the XIAO RP2350 is perfect for developers of all levels looking to create compact, battery-powered applications for smart control, wearables, DIY keyboards, and more.

PCB silkscreen logo of BB eye camera size 17x21mm #skral #ai

PCB silkscreen logo of CyberBrain size 17x20mm #skral #ai #CyberBrain #logo

Edge Compact Fanless Embedded AI System with NVIDIA® Jetson Orin Nano™

Touch Sensors AI32 SOP-8_L4.9-W3.9-P1.27-LS6.0-BL LCSC Part Number: C441719 JLCPCB Part Class: Extended Part Manufactured by Sam&wing(芯网)