
The AI Video Analytic System for Escalator Monitoring is a comprehensive solution that utilises cameras, an edge device, an AI computer and associated remote monitoring and network equipment. Its purpose is to detect and monitor unwanted events and behaviors on escalators. These include passenger falls, blockages at entrances/exits and reversed movement, misuse of escalators with bulky objects and maintenance misconduct, such as over-wetting during cleaning. The system also logs maintenance activities and monitors escalator status including On/Off condition and speed to optimise operations and maintenance processes.
| Problem Addressed | A number of wet markets in Hong Kong have multiple storeys with packed food stalls. Escalators serve as an essential transportation for buyers traveling between levels. To enhance escalator safety, it is necessary to create an innovative system to monitor escalator status to optimise traveler experience and prevent accidents. The AI Video Analytic System for Escalator Monitoring is tailor-made for escalator safety monitoring. Notifications are sent to the management to report issues and snapshots / videos of each camera are displayed nearly real time, so that immediate actions can be taken to prevent accidents. |
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| Innovation | The system mainly comprises network cameras, an AI computer, an email bridge, network storage and uninterruptible power supply. Multiple cameras installed at the escalators are supported by an artificial intelligence video analytic computing system. If unwanted events are detected, SMS/email alerts will be triggered and videos of the event will be uploaded to EMSD's AWS Cloud. For example, an alarm will be triggered when bulky objects approach the escalator entrance. A monthly report will also be generated to summarise the event occurrences. |
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| Project Reference | Tai Shing Street Market |