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XIAO Smart Vision AI Camera for Edge AI Applications -Seeed Studio

XIAO Smart Vision AI Camera for Edge AI Applications -Seeed Studio

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XIAO Smart Vision AI Camera for Edge AI Applications -Seeed Studio The XIAO Smart Vision AI Camera by Seeed Studio is a compact and powerful AI vision camera solution designed for edge AI applications. It integrates the Grove Vision AI V2 module, XIAO ESP32-C3 controller, and an OV5647 camera into a custom 3D-printed enclosure, delivering a seamless development experience. Powered by the Himax WiseEye2 platform with an Arm Cortex-M55 processor and Ethos-U55 NPU, this device offers efficient on-device AI processing. Supporting both TensorFlow and PyTorch frameworks, it ensures compatibility with the Arduino IDE and allows developers to deploy models without …
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XIAO Smart Vision AI Camera for Edge AI Applications -Seeed Studio The XIAO Smart Vision AI Camera by Seeed Studio is a compact and powerful AI vision camera solution designed for edge AI applications. It integrates the Grove Vision AI V2 module, XIAO ESP32-C3 controller, and an OV5647 camera into a custom 3D-printed enclosure, delivering a seamless development experience. Powered by the Himax WiseEye2 platform with an Arm Cortex-M55 processor and Ethos-U55 NPU, this device offers efficient on-device AI processing. Supporting both TensorFlow and PyTorch frameworks, it ensures compatibility with the Arduino IDE and allows developers to deploy models without coding hassles. With real-time inference visualization provided by SenseCraft AI, it’s perfect for beginners and experienced developers working on innovative AI vision projects. Features: Powerful AI Processing Capabilities The Grove Vision AI Module V2 is powered by the WiseEye2 HX6538 processor, which features a dual-core Arm Cortex-M55 and an embedded Arm Ethos-U55 neural network unit. Deploy and Visualize AI Models without Coding SenseCraft AI offers built-in models (Mobilenet V1/V2, EfficientNet‑Lite, YOLO v5/v8) or custom datasets for "Quick Training" or "Image Collection Training." After training, models are deployed to the device with a single click and inference results are visualized in real-time on the web, eliminating the need for coding. Wi-Fi Enabled Smart Vision With the built-in Wi-Fi capabilities of the XIAO ESP32-C3, you may turn this device into an intelligent IP camera. Stream detection findings wirelessly and seamlessly interact with platforms like as Home Assistant, extending its utility across a wide range of smart home scenarios. This wireless link transforms simple object detection into networked intelligent vision, allowing for remote monitoring and smart automation applications. Local Closed-Loop Automation and Home Assistant Integration After deploying a model with SenseCraft AI and flashing ESPHome, users can integrate the XIAO Vision AI Camera into Home Assistant. Within the automation editor, users can trigger other devices or send notifications based on detection events (e.g., falls, object detection), enabling a fully local, closed-loop workflow from vision to action. Fully Open Source All code, design files, and schematics are available for modification and use. We may also assist you personalize the device to match your specific applications through our ODM services. Please contact us at iot[@] seeed.cc if you are interested. What is the performance of the XIAO Vision AI Camera? To quickly assess the performance of this board, we compared it to Seeed's other MCU-based vision AI boards: Grove - Vision AI Module, thumb-size, AI-powered camera, easy-to-use, customizable sensor, super low power cost. - Seeed Studio, Mini ESP-CAM Dev Board for Edge AI - XIAO ESP32S3 Sensor in four areas: These findings clearly show that the Grove Vision AI V2 in the XIAO Vision AI Camera is an excellent option for high-performance vision processing. How XIAO VIsion AI Camera Works? How to Use it? SenseCraft AI is a platform that allows for easy AI model training and deployment using no-code/low-code. It natively supports Seeed products, guaranteeing that trained models are fully adaptable to them. Furthermore, deploying models using this platform provides quick viewing of identification results on the website, allowing for rapid assessment of model performance. With the SenseCraft AI, you can easily integrate vision AI to your smart sensor with Grove Vision AI V2. This is ideal for tinyML applications. Connect the device, select a model, and check identification results to deploy off-the-shelf or bespoke AI models quickly and easily. Applications: Industrial Automation: Quality inspection, predictive maintenance, voice control, and so on. Smart City: Monitoring equipment, managing energy consumption, and so on. Transportation: Status monitoring, position tracking, and so on. Intelligent Agriculture: environmental monitoring, etc. Mobile IoT Devices: Wearable, handheld, and other types of devices.

  • Smart AI vision camera solution for edge AI applications
  • Integrates Grove Vision AI V2, XIAO ESP32-C3, and OV5647 camera
  • Powered by Himax WiseEye2 platform with Cortex-M55 & Ethos-U55 NPU
  • Supports TensorFlow & PyTorch frameworks
  • Compatible with Arduino IDE for easy development
  • No-code model deployment and real-time inference visualization via SenseCraft AI
  • Comes in a custom 3D-printed enclosure
Parameter Description
Camera
Sensor OmniVision OV5647
Still Image Resolution 2592 × 1944 (5 MP)
Field of View 62°
Video Modes 1080p @ 30 fps; 720p @ 60 fps
Pixel Size 1.4 µm × 1.4 µm
Focal Length 3.4 mm (adjustable)
Aperture (F‑Stop) F/2.8
CMOS Size 1/4″
Microcontrollers
Master Controller XIAO ESP32-C3 • 2.4GHz Wi-Fi / Bluetooth 5.0 • RISC-V single-core 32-bit processor up to 160 MHz • 400KB SRAM & 4MB Flash
Imaging Processing Unit Grove Vision AI Module V2 powered by Himax WiseEye2 HX6538 • Dual-core Arm Cortex-M55 @ 400 MHz & 150 MHz • Ethos-U55 microNPU @ 400 MHz • Configurable SRAM up to 2432 KB; 64 KB Boot ROM • CSI camera connector • Grove I²C / UART / SPI • Micro SD card slot (DS mode, up to 25 MHz SDIO) • PDM Microphone
Power Supply 5 V via USB Type-C (XIAO ESP32-C3)
Baud Rate 115200 bps
Operating Temperature –20 °C to 70 °C
Enclosure Dimension: 31 × 49 × 32 mm Material: PLA Color: White Fabrication: 3D Printing

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Official Arduino UNO Q SBC ABX00162 The Official Arduino UNO Q is a versatile single board computer designed for makers, developers, and innovators. Its hybrid architecture combines a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller, giving you the flexibility to run AI-powered vision and sound applications while maintaining real-time control. Fully compatible with the Arduino UNO ecosystem, it supports classic shields, Modulino® nodes, and third-party modules via the Qwiic connector. With seamless software integration through Arduino IDE, Arduino Cloud, or Python® on Linux®, plus pre-built examples and AI models available in Arduino App Lab, the UNO Q makes building advanced projects intuitive and powerful. Dual-Core Processing Power Robotics and Embedded Application Hands-On Development and Programming The Illuminated Command Center Powered by Qualcomm Dragonwing QRB2210 Your UNO Q is a compact, cost-effective platform with advanced features such as machine vision, owing to the Dragonwing QRB2210's integrated AI and GPU acceleration, quad-core 2.0 GHz CPU, Adreno GPU, 2x ISP, and support for camera, display, and audio. Features: Microprocessor: Qualcomm® Dragonwing™ QRB2210. Microcontroller: Real-time and low-power STM32U585 MCU RAM: 2 GB LPDDR4. Storage: 16 GB eMMC built-in (no SD card needed). Connectivity: options include dual-band Wi-Fi® 5 (2.4/5 GHz) and Bluetooth® 5.1 High-speed headers: Power advanced peripherals (vision, audio, display) Classic UNO headers: Mount shields to increase capabilities. LED matrix: (8 x 13) for visual creation and feedback. USB-C Connector: Power delivery, video output, or connecting a keyboard, mouse, USB microphones, or USB cameras via dongle Qwiic Connector: Modulino® nodes allow for easy expansion without the need for soldering. What is Arduino App Lab? Unified Developer Experience App Lab is a brand-new comprehensive development environment that unifies the journey from Linux® to real-time OS. Preloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models to create fully integrated applications that can be administered from a single interface. Ready-to-use Apps and Bricks Get started quickly with Arduino Apps, self-contained examples that include everything you need. Add plug-and-play capabilities to your projects using pre-built Bricks to help you push your ideas even further. Pre-loaded AI models With pre-loaded AI models in Arduino App Lab, you can use real-world data for a variety of tasks, including object/human detection, anomaly detection, image categorization, sound recognition, and keyword spotting.
₹5173.13  
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₹9798.60
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Seeed Studio XIAO ESP32-C6 De…
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Seeed Studio XIAO ESP32-C6 Development Board Supports Wi-Fi 6, BLE 5.0, Zigbee & Thread The Seeed Studio XIAO ESP32-C6 development board is a powerful yet compact solution for modern IoT and smart home projects. Built on Espressif’s ESP32-C6 MCU, it supports advanced wireless connectivity including Wi-Fi 6, Bluetooth 5.0, Zigbee, and Thread, making it highly versatile for Matter-compliant applications. With its thumb-sized footprint and single-sided mount design, the board is ideal for space-constrained projects while still delivering strong performance. Integrated chip-level encryption ensures secure operation, while seamless compatibility with popular IoT cloud platforms enables developers to bring products to market faster. This ESP32 development board is a reliable choice for innovators looking to create next-generation connected devices. Features: Enhanced Connectivity: Includes 2.4GHz Wi-Fi 6 (802.11ax), Bluetooth 5 (LE), and IEEE 802.15.4 radio connectivity, allowing you to use the Thread and Zigbee protocols. Matter Native: Supports constructing Matter-compliant smart home projects through better connection and interoperability. Security Encrypted on Chip: Powered by ESP32-C6, it delivers increased encrypted-on-chip security to your smart home projects through secure boot, encryption, and Trusted Execution Environment (TEE). Outstanding radiofrequency performance: Has an on-board antenna with up to 80m of BLE/Wi-Fi range, while reserving an interface for external UFL antenna. Power Consumption: Offers four working modes, including deep sleep mode at 15 μA, and supports lithium battery charge management. Dual RISC-V Processors: Includes two 32-bit RISC-V processors, the high-performance CPU running up to 160 MHz, and the low-power processor clocking up to 20 MHz. Classic XIAO Designs: Retains the classic XIAO designs of the thumb-size form factor of 21 x 17.8mm and single-sided mount, making it ideal for space-limited projects such as wearables. Integration with popular cloud platforms: ESP Rain Maker, AWS IoT, Microsoft Azure, and Google Cloud. Applications: Secure and connected smart home that improves everyday living with automation, remote control, and more. Space-limited and battery-powered wearables, thanks to their small size and low power consumption Wireless IoT scenarios enable speedy, reliable data delivery. Seeed Studio XIAO ESP32-C6 Development Board Pinout Diagram
₹823.43  
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₹1400.00
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