Density, which develops sensors and software that measures the density of people indoors, has announced Safe, a cloud service that automatically detects whether a building or room is dense to view admission restrictions or visualize social distance achievement. .
There is a potential to prevent dense contact with infected people, while the need to avoid dense situations with close distances between people for countermeasures against COVID-19 infection. Dencity is a service that allows you to count the number of people indoors while ensuring privacy. Density calculates the number of people inside by installing density sensors at the entrances of buildings or rooms. Unlike security cameras, it is said that the system can be introduced while protecting personal information because the data obtained from the density sensor cannot be used to identify individuals.
In places such as restaurants, it is possible to analyze the visitor situation of customers and provide information on store vacancy to customers. The use of monitoring the condition of whether the conference room is empty can also be considered. Safe, a service announced by Dencity, is a service that measures the density of people in a building or room using the Dencity system, and displays and notifies admission restrictions according to the results. The maximum number of people who can enter a building or room is set in advance, and when it is full, a sign is displayed to prohibit entry.
For example, when introduced into a cafe, the density can be displayed and the density status can be scored. When the number is full, it is notified through SMS, email, or a dedicated app. In addition, API is implemented in the density system itself, and HTTP requests can be sent to obtain the number of people in a specific room or the density sensor status. You can also integrate software density at your own expense.
The Dencity Cloud Service offers a standard license for $495 per year, an enterprise license for an unlimited number of users and API usage for $795 per year, and a sensor for $895. Related information can be found here .