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Projects Update

Enhanced Performance of HK GNSS positioning infrastructure with Beidou III and other GNSS constellations

Hong Kong is developing urban positioning infrastructure to support its smart city applications while GNSS is the backbone of the infrastructure. The new GNSS constellations including Chinese Beidou III and European Galieo systems are in operation. These new constellations will not only increase the number of satellites, but also further enhance the performance of positioning (i.e. Beidou III Precise Point Positioning service, the first GNSS system to provide this service), when compared to the existing GPS and GLONASS systems. This project aims at enhancing Hong Kong's positioning infrastructure using the enhanced functions of Chinese Beidou III. The objectives of the project are to develop a testbed of multiple GNSS high precision service through the use of the multiple GNSS signals; utilise Beidou III PPP data to provide better positioning services in Hong Kong; and improve the coverage of GNSS RTK service through the Beidou III communication channel. The system developed in this project would be the first Beidou III augmentation system outside China. It will not only improve the positioning services in Hong Kong, but also provide useful demonstration and experience for the Beidou III technologies to the world.

HK GNSS positioning infrastructure is enhanced by Beidou III and other GNSS constellations.

Human Activity Analytics for Enhancing Safety in Workplace

Logistics operations and procedures involve many labor-intensive operations which are error-prone. Human activity analysis can provide useful information for more effective management of the operations. It can help to enable a much more flexible and efficient process checking, assess workers' safety, and reduce the impact caused by human errors and increase productivity. However, having round-the-clock manual monitoring is impractical. Therefore, employing new machine vision and sensing technologies in logistics operations will be helpful.

This project of LSCM aims to develop machine vision and sensing tools to automate human activity analysis for process checking and safety monitoring. Specifically, machine vision and sensing techniques are being developed for the following procedures:

a. Pose tracking for activity analysis, e.g., toy manufacturing;
b. Pose comparison for vocational training, e.g., load lifting.

The project is to cater for the needs of the local industry, aiming to improve the workers’ safety, enhance the efficiency and flexibility of the logistics operations and procedures, and avoid human errors so as to boost the productivity of the industry.

The human activity analysis method analyses the poses of the staff for vocational training.

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