Logitech
Video
Conferencing
Solutions

Logitech is a renowned global leader in PC peripherals and video conferencing equipment, strategically leveraging cutting-edge AI, machine learning, and cloud technologies to revolutionize its smart camera ecosystem.  

The company has chosen Svitla Systems as a trusted tech partner to collaborate on multiple high-impact initiatives that transformed Logitech’s product offerings, including the development of intelligent  people tracking algorithms, ML-driven video processing algorithms, cloud-based monitoring platforms, and cross-platform desktop applications. 

• Expand internal R&D capabilities to accelerate innovation in video conferencing technology.
• Enhance video and audio capture with ML-based features including speaker detection, smart camera switching, and people detection.
• Develop robust systems for collecting and processing usage statistics from millions of devices worldwide.
• Create sophisticated software for IoT devices for monitoring indoor environments using time-series telemetry.
• Port machine learning models across multiple platforms and test them directly on hardware devices.
• Build and maintain cloud-connected desktop applications for efficient meeting room management.
• Implement advanced people detection features to minimize manual camera adjustments during meetings.

Advanced Video Processing and Machine Learning

• Developed a vendor-specific framework for machine learning adaptable to various hardware platforms.
• Implemented sophisticated people detection software that automatically scans conference rooms and focuses on participants.
• Utilized machine learning techniques enabling cameras to recognize people’s motion and movements.
• Created a quick prototype using OpenCV library and translated research results to OpenCL framework for final integration.
• Applied machine learning, neural networks, and computer vision algorithms to optimize video quality, speaker positioning, tracking, and focusing.

Cross-Platform Desktop Application Development

• Assembled a dedicated team of full-stack developers to accelerate development and support legacy code.
• Moved to C++ for high-performance back-end processing while maintaining cross-platform compatibility.
• Implemented abstractions for all UI components to eliminate low-level details.
• Completed comprehensive project refactoring to improve scalability and performance.
• Added support for new video devices, people detection and counting, and personal data security.

Cloud Integration and Data Processing

• Developed a highly reliable server infrastructure for handling data from devices worldwide.
• Created an optimized aggregation process using minimal resources while maintaining peak performance.
• Assisted in AWS integration by defining necessary resources to meet server requirements.
• Implemented cloud-based systems for displaying results to Sales and Marketing teams according to specific criteria.
• Established automated installation processes for configuring servers and modules.