Tag MachineLearning
Train Rolling Inspection & Alerting by AI
Here is part 4 of our ongoing AI case studies. Pratham Software GmbH is thrilled to showcase our next AI-driven solution, Train Rolling Inspection & Alerting by AI. Our expertise continues to power innovations across various industries, and today we focus on a groundbreaking project in the railway sector. In this case study, we partnered with the world’s largest railway network to develop a cutting-edge solution for improving train safety and operational efficiency through automation.
Case Study Details:
About the Client:
The customer is the largest railway network in the world, operating thousands of trains daily. The Train Rolling Safety Evaluation (TRSE) system plays a critical role in ensuring both passenger safety and asset security. Traditionally, this has been a manual operation involving visual inspection to detect faults in moving trains near stations, prompting corrective actions.
Business Need:
With the rollout of faster trains like Vande Bharat, detecting faults manually was becoming increasingly impractical. As train speeds increased, the need for automatic fault detection became essential to maintain safety and efficiency.
Solution:
We designed an innovative solution using track-side cameras and advanced computer vision models to automatically collect and analyze visual data, detecting faults in real-time and raising alerts instantly.
Software tools
A Proof of Concept (POC) was successfully carried out to demonstrate the solution’s effectiveness, and based on its success, a pilot program is now planned.
The solution was powered by:
- AWS Kinesis Stream
- AWS Kinesis Firehose
- AWS S3
- AWS SageMaker
- AWS Ground Truth
- Rolo Flow, Yolo, MXNet, TensorFlow
Results
- Improved passenger safety through real-time fault detection.
- Reduced travel time, ensuring trains operate efficiently.
- Reduced maintenance time due to early detection of issues, allowing for proactive action.
At Pratham Software GmbH, we are dedicated to delivering AI-driven solutions that tackle complex industry challenges and drive innovation. Our AI expertise is helping businesses enhance safety, streamline operations, and unlock new efficiencies.
Stay tuned for more case studies as we continue to highlight how AI can reshape industries. Is your business ready to embrace the future with AI? 💡 Get in touch with us to explore how Pratham Software GmbH can help you leverage AI for operational excellence. Apart from today’s case study about Train Rolling Inspection & Alerting by AI please check our case study 1 about Automatic Sampling of BIM Description and case study 2 about Loan Default Early Warning and case study 3 about a centralized Chatbot with Azure OpenAI
Second Case Study of Pratham Software AI Service
How AI has helped a bank saving millions of Euros by Loan Default Early Warning
Our second case study is about Loan Default Early Warning. The AI powered solution has helped our client saving millions of Euros. We delivered an advanced entity scoring and fraud detection system. The solution is powered by a sophisticated machine. It is a learning solution that integrates NLP (Sentiment Analysis), Clustering (DBSCAN), Isolation Forest, Neo4j, Python, Pandas, Sci-Kit Learn, and several third-party API data integrations.
Loan Default Early Warning by AI Case Study Details:
📌 Context:
Our customer operates in the integrity risk analytics space. This means that they are focusing on monitoring the creditworthiness of borrowers. Their advanced platform was designed to assist them in making well-informed decisions by offering comprehensive analytical and collaborative insights.
📌 Business Need:
The client required an effective solution to monitor borrower accounts continuously and identify opportunities for de-risking. This involved the early detection of potential financial stress in borrower accounts, providing near real-time signals and alerts to ensure prompt action.
📌 Solution:
We delivered an advanced entity scoring and fraud detection system that provided comprehensive borrower business insights using multiple models. This included creating relationship graphs, transactional and temporal analysis. Further on it contained sentiment and sensitivity assessment, trend analysis, exposure evaluations, spatial mapping, project Expected Value (EV), Binford analysis, and forensic investigations. By leveraging these insights, the system was able to raise early warnings of potential loan defaults. In this way aiding credit players in mitigating risks and making proactive, informed decisions.
Pratham Software GmbH
Whether you’re looking to automate processes, analyse large datasets, or enhance decision-making through AI, Pratham Software GmbH is here to support your journey with our tailor-made solutions.
Stay tuned as we roll out more case studies in the coming weeks, showcasing how our AI solutions are driving efficiency, accuracy, and innovation across industries. Please also read our first case study about Automatic Sampling of BIM Description.
Ready to harness the power of AI for your business? 💡 Contact us today to explore how Pratham Software GmbH can be your trusted partner in AI transformation.
