Occupancy monitoring means counting the number of people currently on the premises or in a particular area. There are many ways to do this, the most accurate being to use CCTV or IP- enabled cameras, and either people are counting devices or counting software. The concept of the occupancy Monitoring System is relatively newer compared to driver monitoring systems. Using data from these systems are also for seat heating, seat belt alarm detection, smart airbag installation, life warning, and automatic air conditioning systems.
- Possible law-abiding:
- Forgotten children;
- Forgotten objects/ pets;
- Classification and location Of occupants;
- 2.Convenience and safety:
- Biometrics/ Health
- Unauthorized entry detection
- Personalisation Air Quality
Occupancy Monitoring Management
Occupancy Management Solution helps to identify anonymously and count the number of visitors entering and leaving, knowing their movements through the stores and living in each zone, all using the 3D sensor.
Combine this with a 2D camera at the entrance to identify people with and without a face mask. With a digital screen showing real-time capture with the IOS/Android app, easy to use for stop/go messaging and store managers, this solution addresses all the pain points of retail gateway flow management.
Which is an excellent tool for using Post-COVID to gain in-depth insights into traffic trends, visitors profiles, and staff efficiency. How does Occupancy Monitoring Software Work? Although the software is an AL-based Technology that enables people to identify and count.
To activate occupancy monitoring software, here are a few steps to follow:
- Install a sensor above the entry/ exit
- Place a digital screen next to the entrance
- Place a camera on top of the screen
- Enable mask detection as needed
- Use automatic dynamic messaging
- Display digital ads when the screen is idle.
Needs for Occupancy Management:
- Real-time analysis
- 99% correct people count
- Spoof proof face mask detection
- Monitor multiple entrances and exits
- Quick and easy installation
- Anonymous analysis
Affordable and scalable solution Smart store traffic light system
Smart store traffic light system is a solution designed to respond to COVID-19 requirements, integrating digital signage with deep learning technology, face detection algorithms, IP or CCTV systems, and seamless for retail business.
Innovative technology works by counting the number of people entering a building anonymously. A warning is displayed through a traffic light via a digital screen in the Stop and go format, reaching the capacity of the interior space in the red and green design.
Thermal detection
Heat detection or imaging is the process of converting infrared radiation, also known as heat radiation, into visible images that illustrate the temperature distribution in an area viewed by a thermal camera. Using AL Technology, such as computer vision, the algorithm of face detection, and cameras, higher facial temperatures can be detected in public to highlight potentially sick or infected people.
Occupancy Counting and Privacy
The face analysis system counts people in a completely anonymous way. The output data is transmitted and stored in an encrypted format to ensure that the data privacy rights are always upheld and in line with GDPR.
How do Occupancy Monitoring System Works
Occupancy counting sensors and computer vision technology accurately calculate the time of entry and exit of a building. These sensors capture data in real-time and display this data through clear visual alerts on digital screens. They are alternatively, Using a text message and email alert to Building Security or the administrator to alert them if they enter without permission.
The technology can be plug-and-play and quickly deployed, providing a safe environment for everyone without delay or time-consuming installation. The possession calculation method is non-invasive and anonymous, always ensuring privacy regulations.
Conclusion
In conclusion, we can see existing efforts to monitor occupancy in intelligent buildings for energy-efficient purposes. In particular, we identified the types of problems related to human occupancy and discussed the use of sensors and cameras. Existing approaches point to a trend towards using existing IoTs available in the building. Using minimum hardware and software costs have the potential to save energy.
Nowadays, research into IoT – enabled innovative building solutions has accelerated significantly with the advent of wireless distributed sensing hardware, protocols, and software. Moreover, the computational capabilities of mobile and wireless platforms can now deliver significant and complex tasks through remote low-power nodes.
