Case Study: Poly Perception achieves real-time waste sorting insights with TimescaleDB

Poly Perception improves real-time waste sorting with TimescaleDB

Poly Perception, a Belgium-based startup providing AI-powered waste sorting solutions, faced challenges in efficiently processing and storing large volumes of time-series data from their systems. Their initial infrastructure resulted in slow processing speeds and insufficient data retention, which hindered their ability to deliver the real-time analysis required for optimizing recycling processes. They implemented TimescaleDB from Timescale to address these performance problems.

By leveraging TimescaleDB's continuous aggregates and efficient time-series data storage, Timescale provided a solution that enabled real-time waste monitoring. This drastically reduced latency and improved data management. The result for Poly Perception was an enhanced AI classification system that delivers real-time insights to its customers, leading to their customers achieving operational improvements, increased throughput, and better sorting performance metrics.

Poly Perception