• Create an architecture that can download videos in batch (set of videos) and strive to meet the concurrency requirements of video streams.​
• Manipulation of videos due to their weight and the number of videos required for incident analysis.​
• Maintain the existing functionalities of the previous product and add value with the new development by defining a testing strategy for video-type products.​

Faced with the intricate demands of developing a cutting-edge video surveillance and fraud detection system, Applaudo applied best practices and rigorous testing from the start, ensuring a smooth project execution.

The Applaudo team designed an efficient architecture utilizing advanced load-balancing and scalable cloud solutions, ensuring seamless processing of multiple video streams without performance issues.

We implemented optimized processing algorithms for managing large video files, allowing for quick and high-quality incident analysis. Additionally, we crafted a comprehensive testing strategy tailored specifically for video products, ensuring the integration of new features without compromising existing functionalities and delivering a defect-free product. This is how we delivered a customized video surveillance and fraud detection system with robust reporting capabilities tailored to the client’s needs. The product was free of critical defects, ensuring continuous and reliable business operations. Key achievements included significant cost savings from developing a proprietary system instead of relying on expensive licensed software.

We applied best practices in development and testing from the start, ensuring smooth project execution and improved incident video detection and analysis processes, which enhanced the client’s operational efficiency. Through innovative architecture design, advanced video processing techniques, and a robust testing strategy, we overcame complex challenges, resulting in a highly efficient and cost-effective solution that exceeded the client’s expectations.