🤖 AI Object Recognition for Robots
Computer vision: identify objects, people, obstacles in real-time for navigation, manipulation. Core perception layer.
⏳ Loading AI model... (first load may take 10-30 seconds)
📷 Robot Vision Input
📊 Perception Stats
0
Objects
0
People
0
Obstacles
🤖 Recognized Objects
📍 Detections (with confidence)
- No data - click Run Recognition —
🧠 Perception Data (for robot control)
{
"status": "waiting",
"message": "Load model and click Run Recognition"
}
📖 How To Use AI Object Recognition for Robots
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📡 Step 1: Provide Visual Input
Click "Start Camera" and allow permission, or click "Upload Image" to select a photo.
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⚙️ Step 2: Wait for Model
Wait for the green "Model Ready" message before running recognition.
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🧪 Step 3: Run Recognition
Click "Run Recognition" to analyze the current camera frame or uploaded image.
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🤖 Step 4: Use Perception Data
Review detections and copy the JSON output for your robot's navigation system.
💡 Pro Tips
- Click "Sample Scene" to test with a generated office environment
- Detection confidence above 50% is generally reliable
- People are automatically classified as dynamic obstacles
- All processing is 100% client-side - your data never leaves your device
❓ Frequently Asked Questions
What objects can the robot recognize? ▼
Our system uses a COCO-trained model with 80 classes including person, bicycle, car, motorcycle, bus, train, truck, boat, traffic light, fire hydrant, stop sign, parking meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket, bottle, plate, wine glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake, chair, couch, potted plant, bed, dining table, toilet, tv, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair dryer, toothbrush.
Why is "Run Recognition" not working? ▼
This can happen if: 1) The AI model hasn't finished loading (wait for green status), 2) No camera or image is active, 3) Browser permissions are blocked. Try refreshing the page and ensuring camera access is allowed.
Is my visual data secure? ▼
Absolutely. All recognition runs in your browser using TensorFlow.js. No images or video frames are sent to any server. It's completely private and works offline after the first load.
Does it work with live video? ▼
Yes! Start the camera and click "Run Recognition" to analyze the current frame. For continuous analysis, click the button repeatedly or use the Sample Scene for testing.