Case Study: a leading global entertainment company speeds up audition video review with Persistent Systems' ML-based video intelligence platform

Prototype of an ML-based home-built video intelligence platform for a leading global entertainment company

The leading global entertainment company faced a time- and effort-intensive challenge in manually reviewing, categorizing, and rating hundreds of annual audition videos. To address this, they partnered with Persistent Systems to evaluate how a machine learning solution could streamline the process.

Persistent Systems developed a prototype video intelligence platform using Google Cloud technologies, including the Video Intelligence API, TensorFlow, and Dataflow. The solution implemented multiple processing pipelines for object detection, facial recognition, audio transcription, and demographic analysis, which automated the extraction of granular data. This significantly boosted the casting team's productivity by enabling smart search through video archives and allowing them to process videos faster to identify the right talent.