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Smart Residence
Watch over your safe and secure life in an apartment complex 24 hours a day, 365 days a year by video Edge AI
Various AI solutions are available to quickly detect and avoid intrusion of suspicious persons, fire and smoke and accidents in blind spots in condominiums and other housing complexes. AI analyzes surveillance camera images 24 hours a day, 365 days a year, and alerts the facility manager when it detects an event that is the subject of an alarm. This makes it possible to automate and save labor in monitoring operations.
｜Selling Points｜
Without installing special equipments, it is possible to detect the intrusion of reversing vehicles, people, bicycles, and to measure vehicular traffic from surveillance camera images.
If there is a pedestrian crossing on the premises, the risk of traffic accidents can be reduced by quickly detecting and warning pedestrians and bicycles. By using the vehicle detection system, it is also possible to detect unauthorized parking and grasp the usage status of visitor parking lots.
Surveillance cameras are installed outdoors in apartment buildings where it is difficult to install fire detectors, and they quickly detect and alert the outbreak of flames or smoke.
｜Standard Features｜
24 hours a day, 365 days a year, surveillance camera video is used as input to an AI Box installed onsite (at the edge) to perform AI inference processing in real time onsite.
When an AI app detects a detection target (e.g. suspicious person, loitering person, flames and smoke, etc.) on the edge, it can notify the administrator in various ways. Depending on the system configuration, it can notify the administrator of an abnormality in various ways, such as notification by email or LINE, warning by turning on or blinking a rotating warning light, or displaying a warning message on a display or simple LED display board.
Information on suspicious intrusions, fires, and detected vehicles detected by the edge can be sent to external systems. If a building OS (building management system) has already been introduced, it is also possible to link the system by sending the inference results from the AI app.
｜Usage Scenarios｜
Detection suspicious persons and persons staying for long periods of time
The system alerts the facility manager when a person stays in a common area (parking lot, bicycle parking lot, garbage collection area, elevator hall etc.) of a condominium for a long period of time, or when a person enters an area that is off-limits. The day of the week, time of day, and time required to determine that a person has been in the area for an extended period of time can be freely set, so the system can be installed in places where entry is permitted except during late-night hours, or where entry for a short period of time, from a few seconds to a few minutes, is within the expected range.
Preventing accidents in blind spots on condominium premises
When parking is located on a condominium lot, it is not always a straight road with a clear view. If there is a blind spot in the driveway leading up to the parking lot and there is a pedestrian crossing for people or bicycles in that blind spot, the driver of the vehicle may not be aware of the situation and an accident may result. LED display boards and other devices can display messages to warn drivers of vehicles in blind spots in advance when people or bicycles are crossing the street. In addition, the use of AI for vehicle detection can be used to determine the usage status of visitor parking spaces (i.e., check whether they are full or empty) and to detect and report unauthorized parking of vehicles in areas where parking is prohibited.
Fire detection in areas where it is difficult to install fire detectors
Although fire detectors are installed on the condominium premises and in the apartments, it is sometimes difficult to install fire detectors outdoors. In such locations, surveillance cameras can be installed to detect fire and smoke on video and alert the facility manager in the early stages of a fire. This system can be used to quickly respond to fires that occur in bicycle parking lots, parking lots and refuse collection areas.
｜System Configuration Chart｜
