Certis Group’s Successful Transportation Cases
Customer Background
Certis is one of the five commercial auxiliary police forces authorized to provide armed security officers to government organizations as well as private companies or individuals in Singapore. The intention is to introduce AI technology combined with big data analytics and other IT expertise to monitor the road traffic conditions leading to the airport, aiming to enhance safety and improve service quality.
Challenges
- Infrastructure: Establishing a robust real-time streaming platform for high-volume video data and ensuring seamless integration of multiple data sources.
- Modeling: Ensuring data quality for training, handling the complexity of real-time traffic prediction, and validating the model’s accuracy across diverse scenarios.
- Operational: Maintaining real-time analysis performance, ensuring system scalability with increasing data sources, and effectively translating model insights into actionable strategies.
Customer Requirements
- Establish a real-time streaming video data platform.
- Develop predictive models to forecast traffic volume for the next 5 and 15 minutes.
- Present the predictive models and analytical reports to assist in strategic decision-making.
Solution
Results
- Create a platform to stream CCTV footage in real-time, assess road congestion, and enable prompt traffic management.
- Use extensive historical data to predict traffic, optimize airport staff deployment, and reduce passenger wait times.
