Using Computer Vision to Track Occupancy in Workplaces

Last Updated: November 29, 2024

In today's fast-paced business environment, understanding and optimizing workplace occupancy is crucial for enhancing productivity and ensuring safety. Traditional methods of tracking occupancy, such as manual counts or sensor-based systems, often fall short in accuracy and scalability. Computer vision technology offers a sophisticated solution by providing real-time, precise data on how spaces are utilized. This technology helps businesses to make informed decisions about space management, energy efficiency, and safety compliance.

Industry Applications

Solution Overview

Stura.io specializes in crafting custom computer vision solutions that accurately track occupancy in various workplace settings. By leveraging advanced machine learning algorithms and real-time video processing, our solutions provide precise and actionable insights into space utilization. Our team of experts works closely with clients to develop tailored models that can differentiate between human presence and other objects, ensuring high accuracy. These models are trained to adapt to specific environments, considering factors like lighting conditions and camera angles, to deliver reliable data.

Our solutions integrate seamlessly with existing security camera systems, minimizing additional hardware costs. The data collected is processed to generate comprehensive reports and visualizations that can be accessed through a user-friendly dashboard. This empowers businesses to optimize space usage, improve energy efficiency, and comply with safety regulations. Additionally, our solutions are designed to scale with your business, accommodating future expansions or changes in layout.

Key Benefits

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Contact Stura.io today to explore how our custom computer vision solutions can optimize your workplace occupancy and boost operational efficiency.

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“Stura provides us with computer vision algorithms for our smart cameras. Their technology is highly optimized and very accurate. We are excited to keep working with them on our next generation of boards for advanced video analytics at the edge.”

Sylvain Bernard

Founder at SIANA Systems

“Stura has supported us on several custom computer-vision projects, including challenging retail analytics and self-checkout monitoring use cases. Their work has complemented our platform by helping address customer-specific requirements, working directly with real video data, and building practical models and pipelines for use cases that required additional customization.”

Devarshi Shah

Founder & CEO at Lumeo

“Stura brings a rare combination of deep computer-vision expertise, applied research judgment, and practical software engineering. The team is especially strong when working on complex real-world AI problems where standard off-the-shelf solutions are not enough.”

Marie Alexander

CEO, Vision Intelligence

“Stura helped us deploy and support a Bluetooth beacon-based RTLS solution for collecting location data in clinical environments. The team was technically strong, responsive, and practical, with a clear ability to adapt complex technology to real operational constraints.”

Deepak Rao

Founder & CEO at damsr

“We have been using Stura's technology for airport passenger flow analytics. The accuracy and stability of the technology makes it very promising to develop indoor monitoring applications for the aviation industry”

Antonio Correas

Co-founder / Chief Product Officer, Skymantics