Case Study: Vega achieves real-time video analytics with SoluLab’s AI and blockchain development

Vega builds real-time video analytics with SoluLab’s 250+ specialists

The customer, Vega, aimed to democratize video analytics but faced challenges in accurately profiling users with facial recognition, sourcing sufficient backend data for its ML system, and precisely processing sentiments in video for quality motion analytics. Vendor SoluLab was engaged to address these challenges with its machine learning expertise.

SoluLab implemented a machine learning system for Vega that used labeled data, thermal imaging, and neural networks to perform real-time object tracking and analysis. The solution included features for object specification, cloud vision, and edge computing. As a result, Vega can now detect and transcribe text in videos and generate predictive alarms by profiling objects to prevent incidents. SoluLab delivered a smart real-time video analytics program that converts actionable data into meaningful information.

Vega