Smarter spaces with computer vision.

🏢 Towards truly intelligent buildings

Digital transformation is affecting all sectors, and professional buildings are no exception.

While home automation, IoT sensors and BMS (Building Management System) solutions have been at the forefront of this revolution, computer vision is now taking building intelligence even further.

Thanks to real-time video analysis, companies can now monitor, understand and optimize the use of their spaces in a fine, proactive way.

👀 Understanding how spaces are actually used

One of the great contributions of computer vision is its ability to :
- detect
- count
- analyze the flow of people in a building

This includes:
➡ entrances / exits
➡ time spent in each area
➡ bottlenecks or under-utilization of certain spaces

🎯 Example:
In an open space or meeting room, it is possible to identify:

• the most frequently used spaces

• peaks in occupancy during the day

• areas to be reorganized

👉 This data can be used toadjust the configuration of the premises, reduce heating or air-conditioning costs, or reallocate under-utilized spaces.

🧹 Intelligent care and maintenance

No more systematic cleaning based on a fixed routine.
Computer vision makes it possible to adapt interventions according to actual usage.

🎯 Example:
- A meeting room left empty for several days? No need for intervention.
- A busy area? An automatic alert can trigger :
- rapid cleaning
- refilling of consumables (paper, soap, etc.)

Result: less waste, more efficiency.

🛡️ Proactive security & anomaly detection

Where conventional video surveillance simply records or reports an intrusion,
computer vision anticipates risks:

🔍 Detection of unusual behavior :
- prolonged parking
- abnormal grouping
- falling or feeling unwell
- intrusion into prohibited areas

🧠 Anonymous tracking of individuals - without biometric identification, therefore respectful of privacy.

🚨 Danger detection :
- outbreak of fire
- smoke
- liquid leaks...

👉 Result: precise alerts, without overstretching agents or generating false alarms.

🌱 Environmental impact and energy savings

In conjunction with HVAC (heating, ventilation and air conditioning) systems, computer vision enables :
- automatically turn off lights
- turn off air conditioning when no one is present
- open or close blinds according to brightness and presence

🎯 Objective:
➡ reduce unnecessary energy consumption
➡ optimize occupant comfort
➡ respect CSR and environmental commitments

🔮 Towards predictive building management

Computer vision paves the way for predictive building management:
- early detection of malfunctions
- anticipation of floor space requirements
- adapt to different days, seasons and internal events

✅ Conclusion

Thanks to computer vision, buildings are no longer just connected.
They are becoming intelligent, adaptive and sustainable.

A discreet but powerful revolution, profoundly redefining the way we occupy, optimize and secure workplaces.