Classroom Optimization with Artificial Intelligence: Monitoring Classrooms without Installing New Infrastructure
How did the process begin?
"With a limited number of spaces and a growing student population, we faced the challenge of using existing resources as efficiently as possible. Our goal was to have a clear view of how classrooms were being used in real time."
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G.B. Centralized maintenance of the university
What was done?
Actions that were carried out:
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Use of current security cameras to estimate occupancy and fulfillment of room reservations through KSI analysis.
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Continuous monitoring of the use of spaces, identifying patterns and schedules of high and low demand.
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Redesign of class and event schedules based on the information collected, optimizing the use of each room.
"We decided to implement KSI technology in our existing security cameras. Their video analytics system provided us with detailed data on room occupancy at different times, allowing us to make informed decisions."
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G.B. Centralized maintenance of the university
What results were obtained?
The results showed a significant improvement in the use of spaces. Decisions based on concrete and updated data led to the reduction of classes canceled due to lack of space and the maximization of the use of available resources. The initial investment in the implementation of KSI was quickly offset by the operational efficiency achieved and the increase in satisfaction of the university community.
"The data revealed several opportunities for improvement in classroom allocation, allowing us to make adjustments that result in a better experience for teachers and students. Additionally, efficiency improved without the need to expand our infrastructure."
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G.B. Centralized maintenance of the university
Summary and ROI
Room reservation monitoring
Monitoring of room reservations was enabled, reducing the ratio of unused reservations
Minimum investment
The entire existing camera infrastructure was reused without the need to place new ones
Data for student projects
The data from the platform was enabled in real time to be used by students in space energy optimization projects.