Overview
Oil Defect Spotter is an AI-driven quality inspection platform built for the oil and gas industry to automate visual defect detection in oil samples. Using advanced computer vision and deep learning models, the system identifies surface anomalies such as contamination, residue, or structural inconsistencies enabling real-time quality assurance and reducing reliance on manual inspection.
Developed as a cloud-based MVP, the platform empowers industrial inspection teams to monitor product quality with precision, visualize analytics, and generate automated reports through an intuitive dashboard.
🔗 Live Preview: https://preview–oil-defect-spotter.lovable.app/
AI-Powered Visual Detection System for Oil & Gas Industry
Key Features
- AI-Powered Defect Detection Detects and classifies oil surface defects with up to 95% accuracy using YOLOv8 and TensorFlow models.
- Automated Quality Inspection Replaces manual checks with instant, image-based analysis.
- Real-Time Image Uploads Users can upload oil sample images and get visual overlays highlighting detected defects.
- Interactive Analytics Dashboard Displays inspection statistics, performance metrics, and historical trends for QC teams.
- REST API Integration Seamlessly integrates with existing quality control (QC) or manufacturing systems.
- Cloud-Native Deployment Hosted on AWS for high availability, scalability, and secure data storage.
- Role-Based Access Control Secure login and authorization for admins, engineers, and inspectors.
Results & Impact
- Reduced inspection time by 70% with automated image analysis.
- Improved defect detection accuracy to 95%, minimizing human error.
- Deployed a scalable, cloud-native system ready for industrial integration.
Enabled predictive quality control workflows for future expansion.
Our Role
Briskdev partnered with the client to design, develop, and deploy the Oil Defect Spotter MVP delivering a production-ready system from the ground up.
Our team was responsible for:
- System architecture & workflow design.
- Backend & database development with scalable APIs.
- Integration of AI/ML models for image recognition.
- Responsive frontend using React and Tailwind CSS.
- AWS deployment and CI/CD setup with Docker & GitHub Actions.
- Quality assurance testing and live preview configuration.
Skills & Deliverables
- Full-Stack Development (React + FastAPI + Node.js)
- AI/ML Integration (TensorFlow, YOLOv8, OpenCV)
- REST API & Database Architecture
- Secure Authentication & Multi-Role Access
- Cloud Deployment (AWS, Docker, CI/CD)
- Data Visualization & Analytics Dashboard
- Industrial MVP Delivery for Oil & Gas Sector