Vision-Guard-Pro

A real-time computer vision system for anomaly detection in industrial environments.

Vision-Guard-Pro is a cutting-edge, real-time computer vision system meticulously engineered for robust anomaly detection within complex industrial environments. Leveraging advanced deep learning models and efficient image processing techniques, this system provides proactive monitoring, significantly enhancing operational safety and efficiency by identifying deviations from normal behavior as they occur.

✨ Features

• Real-time Anomaly Detection: Utilizes optimized neural networks for instantaneous identification of anomalies in video streams.
• Customizable Anomaly Models: Supports training and deployment of custom anomaly detection models tailored to specific industrial use cases.
• Edge-Device Compatibility: Designed for efficient deployment on edge devices, minimizing latency and bandwidth requirements.
• Alerting and Reporting: Integrates with existing monitoring systems to provide immediate alerts and detailed anomaly reports.
• Scalable Architecture: Built with a modular and scalable architecture to accommodate varying industrial scales and complexities.

🚀 Getting Started

Installation

pip install vision-guard-pro

Usage

import cv2
from vision_guard_pro import AnomalyDetector

# Initialize the anomaly detector with a pre-trained model
detector = AnomalyDetector(model_path="./models/industrial_anomaly_model.pth")

# Open video stream (e.g., from a camera or video file)
cap = cv2.VideoCapture(0) # Use 0 for webcam, or "path/to/video.mp4"

while True:
    ret, frame = cap.read()
    if not ret:
        break

    # Detect anomalies in the current frame
    anomalies = detector.detect(frame)

    # Process and visualize anomalies
    if anomalies:
        for anomaly in anomalies:
            x, y, w, h = anomaly["bbox"]
            cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 0, 255), 2) # Red bounding box for anomalies
            cv2.putText(frame, anomaly["label"], (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 0, 255), 2)

    cv2.imshow("Vision-Guard-Pro", frame)

    if cv2.waitKey(1) & 0xFF == ord("q"):
        break

cap.release()
cv2.destroyAllWindows()

🤝 Contributing

We welcome contributions! Please see our CONTRIBUTING.md for more details.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.