Service Needs

Expected Outcomes

Our preliminary idea is to develop an intelligent inspection checklist for recording inspection findings during inspections. The duly completed checklists would be uploaded to a cloud storage instantaneously for Engineers’ easy retrieval, and advisory letters to responsible persons and/or registered contractors would also be automatically generated once anomalies are identified for Engineer’s further review before issuance.

To this end, we hope artificial intelligence (AI) model can assist in some of the inspection items. Reference conditions will be established for newly installed or existing lifts/escalators using a set of photos (e.g. 360 degree photo inside the lift machine room, or photos of key components like suspension ropes of lifts etc.). We need to use numerous photos to train up an AI model by deep machine learning. The trained AI model would compare and analyze the photos taken during inspections, or even the photos of the same / similar kind submitted by RCs periodically, with the reference photos set. In case anomalies (e.g. rouging of suspension ropes), or any other critical condition of components are detected by the AI model, apart from informing Engineers and issuing advisory letters, the parties involved, especially RCs, would be immediately alerted, triggering them to carry out suitable rectification works as soon as possible. At the same time, the responsible persons can also acknowledge the latest conditions of the installations under their purview.

The platform and system may be developed in stages (i.e. implementation of module from time to time, or we may first start with critical component like suspension ropes of lifts as trial, and later other components like overspeed governor rope, door locks, brake etc.).