Container Defects Detection System for a Global Port Operator
- Technology : Artificial Intelligence, Deep Learning, Image Processing & Computer Vision
- Industry : Logistics & Supply Chain
Business Objective
- Containers deteriorate during transportation and storage, leading to various defects
- Manual inspection of containers is labor-intensive and time-consuming
- Human limitations increase error risk due to complexity and repetitive nature
- Complex defects and repetitive tasks can result in missed or misclassified defects
- Timely defect detection prevents disruptions and protects transported goods
- Manual inspection struggles to cope; need for revolutionary defect detection solution
Solution
- Ridgeant developed an automated system to detect defects in shipping containers
- The system uses two deep learning models: MobileNetV2 for defect classification and YOLOv8 for defect identification
- It detects various defects that include punctures, dents, bends, rust, and normal conditions
- Manual inspections are replaced with automated processes, increasing accuracy in defect identification
- Data collection involves gathering container images with annotated defects for training
- Model integration combines the trained models into a Web App for detecting defects
- Optimize and deploy fine-tune models for real-time processing efficiency
Result
- The developed system demonstrated remarkable accuracy in identifying and categorizing defects in shipping containers
- Precise and reliable detection of various defects such as punctures, dents, bends, and rust
- automated approach significantly accelerated the inspection process compared to traditional manual methods
- Deep learning models displayed a reduced rate of false positives and false negatives, indicating a high level of accuracy
- prevented unnecessary delays caused by misidentifying minor imperfections
- consistent performance across a range of container types, sizes, and conditions
- potential for transforming quality control practices in the container shipping industry
- Fine-tuning of the deep learning models was implemented to adapt to evolving container defect patterns
Benefits
- Streamlines the container inspection process, reducing the time and resources
- Eliminates the risk of missed or misclassified defects that often occur with manual inspections
- Rapidly identifies defects as containers are processed, preventing defective containers from entering the supply chain
- Reduces operational costs by optimizing resource allocation and preventing potential damages
- Increases the throughput of containers, minimizing congestion and delays in the supply chain
- Integrated into existing container handling processes and scaled to accommodate growing needs
- Real-time inspection of container images and videos, resulting in quick and efficient detection
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Testimonial
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Excellent to work with in every way. Proactively identified solutions to the problem in the initial design and the recommended solutions. Work has top-notch. Results delivered on time. Communication was excellent.
Real pleasure consulting with Ridgeant to set up our company's entire data warehouse and dashboards on AWS. I will definitely be reaching out to them for future work to be done. Our project was effective and 100% achieved what I planned to do in the beginning, in a shorter time frame and with less effort than I expected.
CCR Data perform complex data migrations, we needed and extra pair of hands to restore an Oracle database and transfer the data to a Microsoft SQL database ready for our migration analysts to do their stuff. Nitesh was able to make available at short notice one of their team who was able to see the project through from start to finish. We would not hesitate in recommending or using Ridgeant again and would be happy to outsource bigger projects to them in the future.
I have used RA on numerous occasions over the past 2 years, specifically with Nitesh Solanki for the delivery on PDI ETL jobs. I am very happy with him and the high level of quality work he has provided. He seems to be available all the time and works extremely hard to deliver high quality solutions.
Working with Ridgeant was a game-changer for us. Thanks to Nitesh from Ridgeant, our data strategy is on point and giving our business a major boost!
They took us from square one, building a smart data strategy – everything from collecting data to dishing out real-time insights. With their help, we've seen some major improvements. We would give them a thumbs-up for anything data-related.
Ridgeant has made a real difference for our insurance firm. Their know-how in fraud detection is top-notch. Their data strategies have been a big help, and we are seeing great results. We are quite pleased with what they've done for us
They truly understand what they do. Their restaurant analytics provide real-time insights into our operations and customer behaviors, and it has made a significant difference in our business.
Working with Ridgeant has been fantastic! Thanks to their AI and ML-powered solution, we've made great progress. Their expertise helped us spot and prevent fraud in rentals and make us trustworthy.
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