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The normalized pixel data is passed through the Yolobit or YOLO-based neural network. The algorithm divides the image into an S × S grid. For each grid cell, the model predicts bounding boxes, confidence scores for those boxes, and classification probabilities for what the object might be. Step 4: Post-Processing

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Combining these technologies creates a seamless loop of capturing, processing, and detecting objects. Step 1: Image Capture The normalized pixel data is passed through the