ACEBOTT QD003 STEAM AI Vision Expansion Kit for QD001 Smart Car Kit The ACEBOTT QD003 STEAM AI Vision Expansion Kit is a beginner-friendly upgrade designed to transform your ACEBOTT QD001 Smart Car into an intelligent AI-powered vehicle. Tailored for young learners and beginners in AI, this expansion kit introduces the exciting world of artificial intelligence and machine vision through hands-on experimentation. With its easy setup and engaging features, the QD003 offers a fun and interactive way to explore STEM and STEAM education, making it an ideal choice for classrooms, workshops, and hobbyists eager to dive into AI learning. ACEBOTT QD003 STEAM AI Vision Expansion Kit Assembly Guide Features: Complete AI Recognition Functions. Edge AI using the K210 chip. Structured AI Learning Experience. Code and Play.

ACEBOTT QD107 AI Vision For TinkerBott Car V1.1 (Car Kit is Not Included) ACEBOTT QD107 AI Vision Module for TinkerBott Car V1.1 enhances your robot with smart image recognition, object tracking, and AI-powered interaction capabilities. Built around an ESP32 camera system, this upgrade allows students and makers to explore computer vision, machine learning, and intelligent robotics in a hands-on way. Whether used in STEM classrooms or home robotics projects, the QD107 adds exciting new functionality to the TinkerBott platform, making coding and learning more engaging and interactive. Features AI-powered vision module enables object detection, recognition, and tracking. Built-in ESP32 camera provides fast image processing and wireless communication. Plug-and-play upgrade designed specifically for TinkerBott Car V1.1. Supports multiple programming platforms, making it ideal for beginners and advanced learners. Enhances STEM learning with hands-on experience in computer vision and AI robotics. Lightweight and modular design allows easy installation without affecting robot mobility.

Ai-Thinker VC-02 Offline Speech Recognition Control Module The VC-02-Kit is a development board for the Voice Recognition Module, sharing the same design as the VC-01-Kit. It features an integrated CH340C USB-to-serial chip for debugging and upgrading, with added functionality like wake-up light, cold, and cooling lamp control, along with status indicators for easy debugging and control. Developed by Shenzhen Ai-Thinker Technology Co., Ltd., the VC-02 is a cost-effective offline speech recognition module that uses the US516P6 voice chip from Unisound. This chip offers a deep integration of offline recognition algorithms, providing an ultra-low-cost speech recognition solution. It is ideal for smart homes, small household appliances, 86 boxes, toys, lamps, and more, enabling voice control. The US516P6 chip features a 32-bit RISC architecture, DSP instructions for signal processing, an FPU unit for floating-point operations, and an FFT accelerator. The VC-02 Voice Recognition Module supports 150 local offline commands and a lightweight RTOS system, making it easy to customize with a variety of peripheral interfaces. Features All GPIOs can be set up as external interrupt inputs and wake-up sources One full-duplex UART with a maximum speed of 3Mbps Supports I2C, DAC, PWM, and multiple interfaces Includes 242KB of high-speed SRAM Equipped with 2MB FLASH memory Dual-channel DAC output support 32-bit RISC core running at 240MHz Supports DSP instruction set and FPU for floating-point operations

Official Arduino Portenta X8 AI + Linux Industrial SOM (System on Module) The Official Arduino Portenta X8 is a high-performance, industrial-grade System on Module (SOM) designed for demanding edge computing applications. It comes preloaded with a Linux operating system and supports modular container-based software architecture, allowing device-independent application development. Featuring a unique combination of power and flexibility, the Arduino Portenta X8 integrates a total of nine processing cores, including a quad-core NXP i.MX 8M Mini Cortex-A53 running up to 1.8GHz, a Cortex-M4 at 400MHz, and a dual-core STMicroelectronics STM32H747 with Cortex-M7 and M4 MCUs. This architecture enables real-time operations through the Arduino environment while Linux handles complex, high-speed processing tasks. Built-in Wi-Fi and Bluetooth Low Energy connectivity further enhance the X8’s capabilities by enabling secure over-the-air (OTA) updates for both the OS and applications, making it ideal for industrial IoT and AI workloads at the edge. Applications: Connected edge computer for manufacturing Autonomous Guided Vehicles (AGV) Interactive full-HD secure kiosks and digital signage Office & home control systems Navigation and control for smart agriculture Behavioral analytics for offices and factories Features: Two-in-One Industrial Solution: Combines the power of a container-based Linux distribution with the flexibility of the Arduino ecosystem. High Computational Density: Packs 9 processing cores into a compact, space-efficient form factor. Advanced Multi-Processor Architecture: Enables efficient, power-optimized task distribution across cores. Language Flexibility: Supports popular programming languages including Python, Java, Ruby, and more. Dedicated Real-Time Core: Handles real-time I/O operations and fieldbus/control functions separately from high-level processing. Edge AI and Machine Learning Ready: Designed to run advanced AI algorithms and ML models directly at the edge. Secure Over-the-Air Updates: Supports OTA updates for both OS and applications with built-in wireless connectivity. Hardware-Level Security: Features a dedicated crypto chip for industrial-grade, hardware-based security. Expandable via Arduino Ecosystem: Seamlessly integrates with other official Arduino Portenta modules and accessories. Multi-Protocol Routing Capability: Capable of handling diverse protocols through a single, unified platform. Portenta Compatibility: Fully compatible with other products in the Arduino Portenta family for flexible development.

Eyecloud AI Camera Eyecloud is an artificial intelligence company that specializes in creating top-notch security solutions by combining computer vision technology with embedded hardware. Their team has over 30 years of experience in complex image processing, optics, sensors, IQ tuning, CV algorithms, and camera system interfaces and integration, enabling us to use technology to make our lives safer and more sustainable. The Eyecloud AI Camera is both stylish and compact, making it easy to install in any location you desire for 24-hour detection and surveillance. For instance, placing an Eyecloud AI Camera at your front door can help monitor visitors, while an Eyecloud AI Camera inside your home can help alert you of intruders, watch over your pets and children, or detect potential safety incidents. Additionally, an Eyecloud AI Camera in your backyard or garage can help keep your entire property secure. With a battery life of up to six months, 8GB of local storage, and onboard AI, the Eyecloud AI Camera continues to protect you, your family, and your home even when there is no power or internet access. Moreover, it is cordless and requires no base station to operate. Their advanced AI technology allows the Eyecloud AI Camera to differentiate between intruders, visitors, acquaintances, or your children playing in the backyard, and will only alert you when it detects unusual events. For privacy reasons, the Eyecloud AI Camera will send a text notification to all connected users, who can then use the app to investigate the reason for the alert. Additionally, the Eyecloud AI Camera is fully configurable for alert situations, giving you complete control over whether to receive snapshots or videos. CAMERA FUNCTIONS AND ACTIONS: Send alert messages and images to the host’s app Play predefined audio responses (voice/siren) Allow the host to see a live video feed on their smartphone Allow the host to interact via audio Alert images stored in the cloud for safe record-keeping and to aid police reports Allow the host to browse/play/save recorded clips from the camera Features Industrial-grade vision appliance Ready-to-deploy camera system Minimizes production time for edge-AI vision Standalone battery-powered home security camera Built-in AI for capturing important moments in your home On-device face recognition Can detect people Uses OpenNCC Open Neuro-Compute Camera Designed for deep-learning vision

Gravity: Huskylens - An Easy-to-use AI Camera | AI Machine Vision Sensor Huskylens is the ultimate solution for your robotics and AI projects. This AI camera offers a range of features including face recognition, object tracking, line following, and more. Designed to be user-friendly, you can connect it to popular control boards like Arduino and Raspberry Pi, making complex projects a breeze. The 2.0-inch IPS screen, advanced AI chip, and machine learning capabilities set this camera apart. Craft interactive projects, enhance your robot's vision, and explore new applications with ease. Made with quality materials and cutting-edge technology, Huskylens is a game-changer for AI enthusiasts and developers. Features: Equipped with multiple functions: face recognition, object tracking, object recognition, line tracking, color recognition, and tag (QR code) recognition Connectivity: Can connect to popular main control boards like Arduino, micro: bit, Raspberry Pi, and LattePanda through the UART / I2C port Easy-to-use: Various algorithms can be changed by pressing the function button; learning new things by pressing the learning button for recognition Built-in machine learning technology: Enables recognition of faces and objects; continuous learning for improved accuracy from different angles and ranges. Specialized AI chip Kendryte K210: Offers high performance, 1,000 times faster than STM32H743 when running neural network algorithms; capable of capturing fast-moving objects Applications: Face recognition Object tracking Object recognition Line tracking Color recognition Tag (QR code) recognition Interactive gesture control Autonomous robot Smart access control Interactive toy

Grove - Vision AI Module V2 The Grove Vision AI Module V2 is the perfect solution for AI enthusiasts and professionals. It is compact, versatile, feature-rich, highly compatible, user-friendly, power-efficient, and fully open source. Powered by the Himax WiseEye2 HX6538 processor, it ensures the highest quality and durability. Its dual-core Arm Cortex-M55 and Arm Ethos-U55 neural network unit provide exceptional AI processing capabilities. The module's PDM microphone, SD card slot, and Type-C interface offer comprehensive functionality, making it ideal for sound and vision applications. Compatible with Arduino IDE, Raspberry Pi, Seeed Studio XIAO, and ESP-based dev boards, it suits various development environments. With SenseCraft AI, users can deploy models with no code and visualize results immediately. The module operates efficiently at only 0.35 watts, perfect for battery-powered applications. Fully open source, it invites community collaboration. The Grove Vision AI Module V2 measures 25mm x 25mm, making it suitable for developers of all skill levels. Available in the standard Grove form factor, it supports a wide range of projects and offers extensive support to developers. Features: Powerful AI Processing Capabilities: Utilizes WiseEye2 HX6538 processor with a dual-core Arm Cortex-M55 and integrated Arm Ethos-U55 neural network unit. Versatile AI Model Support: Easily deploy off-the-shelf or your custom AI models from SenseCraft AI, including Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8. TensorFlow and PyTorch frameworks are supported. Rich Peripheral Devices: Includes PDM microphone, SD card slot, Type-C, Grove interface, and other peripherals. High Compatibility: Compatible with XIAO series, Arduino, Raspberry Pi, ESP32 dev board, easy for further development Fully Open Source: All codes, design files, and schematics available for modification and use. Applications: Earlier MCU-based vision sensors were constrained by limited computing power, typically only supporting simple tasks like face detection. We believe this product surpasses the limits, enabling functionalities that were previously unachievable with traditional MCU-based vision AI sensors, such as: Facial Keypoint Detection: Beyond basic facial recognition, detailed facial keypoint detection is capable of running. It accurately identifies critical features such as eyes, nose, and mouth. Human Pose Estimation: It analyzes key joints and limbs to determine human posture, identifying body parts like arms, legs, torso, and head. This is useful for fitness tracking, posture correction, and motion recognition. Object Detection: It supports powerful models like the Yolo v8n model, which can detect and classify over 80 types of objects.

Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer The Jetson Orin Nano 8GB RAM New Generation Embedded Smart T201S AI Edge Computer is an advanced AI edge computing platform designed for developers, engineers, makers, and innovators working on intelligent systems. Built around the powerful NVIDIA Jetson Orin Nano module, this embedded AI computer delivers strong performance for real-time machine learning, computer vision, autonomous robotics, and smart IoT applications. It provides a ready-to-use hardware foundation that simplifies development and testing, helping you accelerate your projects from prototype to deployment. This AI edge computer is ideal for use in robotics, automated systems, smart surveillance, and industrial IoT where on-device inferencing and low-latency processing are critical. It supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK, giving you flexibility to run neural networks efficiently at the edge without relying on cloud resources. Whether you are building smart machines, AI-powered sensors, or embedded vision systems, the T201S offers reliable performance and broad ecosystem support to bring your AI ideas to life. Features: Built around the NVIDIA Jetson Orin Nano module for powerful edge AI performance Provides real-time AI processing for computer vision, robotics, and automation Supports popular AI frameworks like TensorFlow, PyTorch, and NVIDIA JetPack SDK Multiple I/O interfaces for cameras, sensors, displays, and peripherals Ideal for smart IoT devices, autonomous systems, and embedded AI applications Compact and energy-efficient design for both prototyping and deployment

Leju Robot AELOS LITE 19DOF AI Humanoid Robot Kit for Programming & Coding The Leju Robot AELOS LITE 19DOF AI Humanoid Robot Kit is an advanced AI Robot Kit designed for programming and coding enthusiasts. Combining high-performance servo motors with a robust mechanical structure, it enables realistic, human-like movements such as walking, dancing, and executing complex actions. Perfectly suited for STEM education, the robot features a visual programming interface (like Blockly), making coding accessible to beginners while providing depth for advanced learners. As a versatile Humanoid Robot and AI Robot Toy, it serves as an ideal tool for students, teachers, and robotics hobbyists, enhancing learning in classrooms, workshops, or personal projects with engaging hands-on experience. Features: Self-Developed Rudder and Performance Improvement Aelos Lite. The robot is fitted with Leju's high-toughness torque composite material servo motor, which significantly improves its life and motion precision. Free Choice The optional mechanical hand module allows Aelos Lite to grasp freely. Handle Operation for an Excellent Game Experience Comfortable grip, built-in LCD displays the status of the handle. Visual Programming Interface This image displays a visual programming interface, likely used for robotics or similar devices. It shows different sections for coding with blocks, viewing actions, and monitoring machine values. Self-Stabilizing Gait Algorithm Switching between fast and slow steps: The robot can adjust its walking speed. Adaptation to various terrains: It can navigate different types of surfaces. Stunt combination: The robot is capable of performing various combined movements or tricks. Software Introduction The Aelos Lite series of robots is equipped with Scratch visual block programming software, through which users can build blocks to create various functions for Aelos Lite, so as to exercise programming thinking and skills and let their creativity run free. Competitive Events Human robot + high precision servo + built-in sensor; ideal for a wide range of competing scenarios. Stretching Freely and Extremely Flexible Aelos has 19 degrees of freedom and can-do thousands of different movements and tasks, including fast walking, street dancing, and soccer. Its head can spin approximately 160 degrees, and its body language makes it feel quite familiar.

M5StickV K210 AI Camera (without wifi) M5Stack recently launched the new AIoT(AI+IoT) Camera powered by Kendryte K210 -an edge computing system-on-chip(SoC) with dual-core 64bit RISC-V CPU and advanced neural network processor. M5StickV AI Camera possesses machine vision capabilities, equips OmniVision OV7740 image sensor, adopts OmniPixel®3-HS technology, provides optimum low light sensitivity, supports various vision identification capabilities. (e.g. Real-time acquisition of the size, type, and coordinates of the detected target ) In addition to an OV7740 sensor, M5StickV features more hardware resources such as a speaker with built-in I2S Class-D DAC, IPS screen, 6-axis IMU, 200mAh Li-po battery, and more. It is able to perform convolutional neural network calculations at low power consumption, so M5StickV will be a good zero-threshold machine vision embedded solution. It is in support of MicroPython, which makes your code to be more concise when you use M5stick-V for programming. Switching operations ? Power on: Long press power button for 2 seconds Power off : Short press power button for 6 seconds Applications: Face recognition/detection Object detection/classification Obtaining the size and coordinates of the target in real-time Obtaining the type of detected target in real-time Shape recognition Video/Display Game simulator