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1Object: Safety Vest
2Confidence: 0.85
3Bounding Box: Detected1Image / Video
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4Computer Vision Model
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7Object Detection
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10Safety Vest Localization
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13Bounding Box + Confidence
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16PPE Monitoring1Input Image
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4┌───────────────────────────┐
5│ Worker │
6│ │
7│ ┌─────────────────┐ │
8│ │ Safety Vest │ │
9│ │ │ │
10│ └─────────────────┘ │
11│ │
12└───────────────────────────┘
13 │
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15 Confidence = 0.85| Class | Description |
|---|---|
Safety Vest | High-visibility protective vest worn by workers |
1Input Image
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4Image Preprocessing
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7Feature Extraction
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10Object Detection Head
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13Bounding Box Prediction
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16Class Prediction
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19Confidence Filtering
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22Final Detection1Class
2Confidence Score
3Bounding Box Coordinates1Class : Safety Vest
2Confidence : 0.85
3
4Bounding Box:
5x1 = ...
6y1 = ...
7x2 = ...
8y2 = ...1┌──────────────────────────────────────┐
2│ │
3│ Worker │
4│ │
5│ ┌─────────────────┐ │
6│ │ Safety Vest │ │
7│ │ │ │
8│ └─────────────────┘ │
9│ │
10│ Safety Vest 0.85 │
11│ │
12└──────────────────────────────────────┘1Image
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4Resize / Preprocess
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7Object Detection Model
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10Raw Predictions
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13Confidence Threshold
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16Non-Maximum Suppression
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19Bounding Boxes
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22Annotated Image1safety-vest-detection/
2│
3├── dataset/
4│ ├── images/
5│ │ ├── train/
6│ │ ├── val/
7│ │ └── test/
8│ │
9│ └── labels/
10│ ├── train/
11│ ├── val/
12│ └── test/
13│
14├── models/
15│ └── best.pt
16│
17├── notebooks/
18│ └── training.ipynb
19│
20├── inference/
21│ ├── image_detection.py
22│ └── video_detection.py
23│
24├── results/
25│ ├── predictions/
26│ └── evaluation/
27│
28├── requirements.txt
29├── README.md
30└── dataset.yamlclass_id x_center y_center width height0 0.512 0.463 0.318 0.5410 and 1.1Collect Images
2 ↓
3Annotate Safety Vests
4 ↓
5Train / Validation / Test Split
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7Dataset Configuration1Training Dataset
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4Object Detection Model
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7Backpropagation
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10Weight Optimization
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13Best ModelPrecision = TP / (TP + FP)Recall = TP / (TP + FN)1F1 = 2 × Precision × Recall
2 ─────────────────
3 Precision + Recall1 Predicted
2 ┌──────────┐
3 │ ┌──────┼───┐
4 │ │ GT │ │
5 └───┼──────┘ │
6 └───────────┘1mAP@50
2mAP@50:95
3Precision
4Recall
5F1 Score1CCTV Camera
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4Video Stream
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7Frame Extraction
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10Safety Vest Detection
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13Bounding Boxes
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16PPE Monitoring Dashboard1 CCTV
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4 AI Detector
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6 ┌─────────┼─────────┐
7 ▼ ▼ ▼
8 Helmet Vest Gloves
9 │ │ │
10 └─────────┼─────────┘
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12 PPE Compliance
13 │
14 ┌───────┴────────┐
15 ▼ ▼
16 Compliant Violation
17 │ │
18 ▼ ▼
19 Allow Alert1Python
2OpenCV
3Deep Learning Model1Camera
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3FastAPI
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5Detection Model
6 ↓
7JSON Response1{
2 "detections": [
3 {
4 "class": "Safety Vest",
5 "confidence": 0.85,
6 "bbox": [x1, y1, x2, y2]
7 }
8 ]
9}1Camera Feed
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3Backend API
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5AI Detection
6 ↓
7Dashboard
8 ↓
9Safety Alerts1Python
2PyTorch
3Computer Vision
4OpenCV
5Object Detection
6NumPy
7Pandas
8Matplotlib1from ultralytics import YOLO
2
3model = YOLO("best.pt")
4
5results = model("test_image.jpg")
6
7for result in results:
8 result.show()1 AI-Powered Safety
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4 Camera
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7 Computer Vision
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10 Object Detection
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13 Safety Vest Found
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16 Confidence + Bounding Box
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19 Workplace Monitoring1Safety Vest Detection
2PPE Detection
3Computer Vision
4Object Detection
5Deep Learning
6YOLO
7PyTorch
8OpenCV
9Workplace Safety
10Industrial Safety
11Construction Safety
12PPE Monitoring
13Real-Time Detection
14CCTV Analytics
15AI Safety Monitoring