klotz: vision* + machine learning*

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  1. This project demonstrates how to use the ESP32-CAM to capture an image of a vehicle's license plate, send it to a cloud server for recognition, and display the recognized number plate on an OLED screen. The project includes setup instructions, code, and component details.
  2. This article guides readers through running the latest YOLO v10 object detection model on different hardware, specifically on a Raspberry Pi 5, and a computer. The article discusses the importance of computer vision in ML applications, the versatility of YOLO, and the cross-platform code presented in the article.
  3. A website for the Seeed Watcher, a physical AI agent for space management, with features like product catalog, ecosystem, support, and company information.
  4. • This is an MCU-based vision AI module powered by Arm Cortex-M55 and Ethos-U55, supporting TensorFlow and PyTorch frameworks.
    • It has a standard CSI interface, onboard digital microphone, and SD card slot.
    • Compatible with XIAO series, Arduino, Raspberry Pi, and ESP dev board.
    • Supports off-the-shelf and custom AI models from SenseCraft AI, including Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8.
    • Can be used for industrial automation, smart cities, transportation, smart agriculture, and mobile IoT devices.
  5. Image Similarity Search
    Reverse Image Search
    Object Similarity Search
    Robust OCR Document Search
    Semantic Search
    Cross-modal Retrieval
    Probing Perceptual Similarity
    Comparing Model Representations
    Concept Interpolation
    Concept Space Traversal
    Image Similarity Search
  6. 2020-06-18 Tags: , , by klotz

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