P&ID Detector

Real-Time Object Detection: The app uses the YOLOv8 model trained on a custom P&ID dataset to detect and classify various objects in piping and instrumentation diagrams instantly. Supports identification of symbols like valves, pumps, pipelines, sensors, and other key components.

User-Friendly Interface: Designed with simplicity in mind, allowing users to upload P&ID images or take real-time snapshots using their mobile camera. Clear visual overlays highlight detected objects with bounding boxes and labels.

Integration with Offline Capabilities: Users can run the detection model offline for rapid analysis. Performance Insights: Displays real-time confidence scores and object counts for detected P&ID symbols. Allows engineers to verify and cross-reference results quickly for technical accuracy.

Export and Share Results: Users can export annotated images, detection reports, or logs for documentation and collaboration. Supports sharing results via email, cloud storage, or engineering project management tools. Scalable and

Customizable: Designed to adapt to specific user needs with options for retraining the model on additional P&ID datasets. Engineers can extend symbol libraries for detecting unique components.

This app is tailored for chemical engineers, process engineers, designers, and technical professionals working in industries such as: Oil and Gas Petrochemicals Ammonia Plants Power Generation Engineering Consultancy Services