Go green by using data
- Live streaming is always on 24/7, so monitoring needs to be 24/7
- But VQA monitoring is VERY resource intensive
- However using data instead of hardware is more sustainable, dramatically reducing energy consumption
Touchstream’s approach
Data and ML to detect VQA issues
VQA Verde utilises existing data from Touchstream’s own ABR monitoring and CDN logs and takes a machine learning approach to detect likely VQ issues.
Greener VQA monitoring
Detected data anomalies trigger the full deep VQA monitoring, but only for several minutes, to validate or reject the prediction.
Reduced energy consumption
Touchstream’s approach significantly reduces the amount of processing time and resources required.
How VQA Verde Works
Touchstream’s CEO & Co-Founder, Brenton Ough talks about the energy impact of the streaming industry and ways to reduce energy consumption when it comes to VQA at the Content Everywhere stage of IBC 2023.
Source: IBC 365
VQA Verde prototype in action
Want to get started?
Contact our tech team to see a demo and explore how you can solve likely video quality issues without compromising the fragile ecosystem.