Prevent Electric Bicycle Fires! STEP Elevator Cloud AI Cameras Support Safety Supervision.
2024-02-28
Charging electric bicycles in stairwells and inside residential units has become a significant hidden danger that threatens residents' public safety. Once a charging device malfunctions and sparks a fire, the blaze can spread rapidly, releasing large amounts of toxic gases and posing an extremely high risk of casualties among residents. On February 23, a serious electric bicycle fire occurred in Nanjing, Jiangsu Province, drawing widespread attention across the country to fire safety concerns.
Footage from the scene of the “2·23” electric bicycle fire accident in Nanjing
(According to CCTV13 News Program)
On February 24, the Shanghai Property Management Affairs Center issued a latest notice. Starting immediately and lasting until March 31, a special inspection campaign will be conducted across the city to ensure the safe operation and management of residential communities, with the aim of maximizing the prevention and resolution of various safety hazards within these communities. The notice specifically emphasizes strengthening daily inspections of elevators.
To ensure the daily inspection of elevators, it’s clearly unrealistic to rely solely on property management personnel for checks. Leveraging technological advancements to reduce workload is therefore a necessary auxiliary measure and a valuable complement.
In line with the development trends of elevator digitalization and intelligentization, STEP Elevator Cloud has launched... AI camera that supports electric scooter recognition , in coordination with the elevator Cloud Gateway Can be realized with the cloud platform Electric bicycle identification and alert, people counting, video surveillance, and intercom. and other functions, effectively supporting elevator safety supervision and thereby minimizing fire hazards throughout the entire building.
STEP Elevator Cloud AI Camera Features and Characteristics
· Electric scooter recognition. Supports local alert notifications for electric scooter detection; via relay output, it can send elevator control signals to keep the elevator doors open, and can also transmit recognition information to a cloud platform to notify users (via app or SMS alerts).
· Supports basic video surveillance;
· Supports audio intercom linkage between the elevator cloud app and cameras;
· People counting. It can report people-counting data to the cloud platform;
· It can be connected to the STEP Elevator Cloud Audio and Video Gateway ESDT405S-N (earlier ESDT405 terminals are also supported), enabling both electric scooter alarms and cloud-based monitoring of elevator operational data (including electrical operating data and door-machine data).
· The camera can also be integrated into the local security LAN to enable 24-hour local monitoring. After connecting to the public network from the duty room, it can be linked to the elevator cloud platform for remote video surveillance, audio intercom, and electric scooter recognition. Remote alarm Wait (for this type of implementation, if you need to implement elevator operation data monitoring, simply add the basic-model terminal);
· Users only need to provide the camera label installed on-site (on the back of the camera), which will then be bound to the elevator cloud platform by the operations and maintenance specialist from STEP Cloud Platform.
Introduction to Core Products
· Data Center Audio and Video Gateway
· Cabin AI camera
· System block diagram
Currently, this solution has been tested and deployed in various scenarios with different car dimensions, achieving an electric vehicle recognition accuracy rate of over 99%. Moreover, when passengers become trapped in the elevator, the elevator cloud system can automatically detect and identify the situation. Rescue personnel can conveniently open the Elevator Cloud app to check the status of the passengers inside the car and communicate with those trapped, thereby reassuring them and calming their emotions.
Contact Us
Email:
market@stepelectric.com
Address:
No. 1560, Siyi Road, Jiading District, Shanghai Municipality