Leading omniscreen advertising platform

Company

Samba TV

Industry

TV Analytics

Country of the Company

USA

Type of Service

Development

Tasks

  • Build machine learning (ML) pipelines for OTT screen classification
  • Develop neural networks for TV channel recognition and detection
  • Create image classification models for classifying video games on TV screens in real time

Challenges

Optimizing the algorithms while considering constraints and working with a highly complex set of CV and other algorithms. The solutions had to be executed on Smart TV platforms with significant MIPS constraints.

Solutions

  • Built ML pipeline for OTT screen classification to classify streaming platforms (e.g., Netflix, HBO Max, Disney) on edge devices
  • Developed neural networks for TV channel recognition and detection, used for recommendation systems
  • Designed image classification models to classify video games (e.g., Call of Duty, Mario Series) in real time.

Outcomes

  • Successful implementation of classification pipelines for OTT streaming platforms
  • Developed accurate neural networks for TV analytics and viewer recommendations
  • Minimal day-to-day task management required, enabling engineers to work independently with weekly syncs.

Technologies Used

Python

TensorFlow

PyTorch

Keras

Company

Samba TV

Industry

TV Analytics

Country of the Company

USA

Type of Service

Development

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