Project
Distance Sensor
The project
The problem
Every employer or facility manager should ensure that people feel comfortable and safe at work. During the corona pandemic, it was not for nothing that people kept insisting to keep 1.5 meters away from each other. Apart from the risk of infecting others, it is just nice for everyone to have enough space and fresh air while working. We developed the Distance Sensor to help facility managers with this.
The solution
Smart Eagle offers a helping hand with distance sensing with its smart sensor system. Via the online dashboard or handy Smart Eagle user app, an employer, facility manager or organization of a specific event can continuously see if people are located too close to each other. At such moments, an immediate warning can be given to keep more distance and other preventive measures can be taken if necessary, such as spreading the attendees over several rooms and not admitting visitors until people have left the building or event site. Distance sensing is one of the useful features of Smart Eagle.Â
The key benefits
- Provide a safe working environment for employees and visitors.Â
- Real-time insight into the occupation of a room and the social distance.Â
- Better crowd management.Â
More information
How does the Distance Sensor work?Â
Artificial Intelligence (AI) and Machine Learning (ML) are used to detect people within a space. The initial function of the Smart Eagle is to measure workplace occupancy and help people to find an available workplace faster. It has already been trained with ML and recognizes, among other things, people, coffee cups and laptops. Additionally, the Distance Sensor is trained to recognize the difference between people and everything else in the room. Â
Anonymous dataÂ
The Smart Eagle Distance Sensor does not use smartphones or other devices to monitor distances. The sensors record images but do not store them in a database. The data is anonymous. Only the number of people in the room and their distance are registered. Images are immediately coded by means of ML. The facility manager indicates which distances are permissible in which situations and can set this distance himself. Â
More Success Cases
- What we do
