SDE014  |  Apparatus to collect and transmit accident information of vehicles

A South Korea University has developed apparatuses and methods concerning automotive accident information collection and transmission. This technology consists of a system and methods for transmitting information from the scene of an accident through an intelligent transport system infrastructure network. The university offers license agreement and commercial agreement with technical assistance.

Exhibitor : Gyeonggi Technopark

SDE039  |  Asset Tracking using Beacons

In hospitals, some expensive equipment is shared among a few hospital wards and labs. It is sometimes difficult to track the whereabouts of this equipment manually. These equipment require regular servicing by external vendors. Service engineers always have difficulty in locating the equipment when they need to service them. This project develops a tracking system using Bluetooth Low Energy (BLE) beacons and mobile phone app. The beacons are used to either identify a location or an equipment. Through mobile app installed on staffs’ mobile phone, locations of equipment are crowd-sourced in the background and updated in the cloud.

Exhibitor : Ngee Ann Polytechnic

SDE050  |  Real-time Collaboration on a Shared Map with Multiple Displays

This technology is a multi-display system that supports real-time collocated collaboration on a shared map. It provides rich user interactions by introducing activity awareness and view sharing capability to enable seamless information sharing and integration in map-based applications. It can be used in conjunction with several tablet devices, laptops, and shared large displays.

Exhibitor : NUS Enterprise

SDE078  |  Location & Group-based Promotions and Notifications

Location-based visitor engagement integrates in-venue engagement technologies (e.g., mobile advertising) with location-based services. The technology is used to pinpoint consumers’ location and provide location-specific advertisements on their mobile devices. Our solution not only supports easy provisioning and delivery of such location-based engagements but also allows such engagements to be customised based on additional attributes (e.g., number of members in a particular visitor group). A common use case for such engagements is the delivery of targeted promotions/advertisements.

Exhibitor : SMU Livelabs - Urban Lifestyle Innovation Platform

SDE080  |  User Wi-Fi Location & Movement Data Analytics

This Location Analytics platform provides customised analytics to understand the indoor movement and behaviour pattern of visitors. It provides both retrospective (location heat maps and duration of visits, size distribution) and predictive insights (e.g. likely locations to be visited next). Such insights are critical for a variety of next-generation services such as agile operations (scheduling janitorial services when a surge of visitors use the restrooms) or personalised visitor interaction (tailoring incentives to the size of the visitor group at a recreation park).

Exhibitor : SMU Livelabs - Urban Lifestyle Innovation Platform

SDE082  |  Wi-Fi based Indoor Positioning System

The Indoor Location System tracks any WiFi-enabled client device, including iPhones and other devices which do not allow client-side RSSI measurements, without any additional client-power. The technology requires no additional upgrades to the WiFi infrastructure, beyond just the base operational network. It benefits operators and owners of public venues by providing both real-time and retrospective, low-cost, tracking of the location and movement of all visitors within the indoor urban venue.

Exhibitor : SMU Livelabs - Urban Lifestyle Innovation Platform

SDE085  |  Facebook Data Analytics: Finding the Strategic Business Location

Choosing an optimal physical location to set up a new business is a crucial decision that affects the success of a potential business. Business owners have to consider factors such as potential customers, competitors, and complementary businesses. In social media, there exists plenty of online user-generated data through which business owners learn about their potential customers, business competitors, and popular locations. This project uses Facebook data to provide insights to find ideal locations for business owners so as to increase their success.

Exhibitor : SMU Living Analytics Research Centre

USS011  |  Incentive-based Crowd Management

The crowd management technology aims to mitigate congestion in transportation modes, especially at the end of a large-scale event, by changing people’s behaviour, while enhancing their experience. Optimised recommendation provided through mobile app consists of an assortment of options which are combinations of transportation mode, estimated congestion levels and incentives such as coupons. Our optimisation technology considers user profit and social welfare at the same time and provides well-designed options to help a user choose appropriate egress time which helps to disperse congestion as well as allows the user to enjoy incentives.

Exhibitor : Fujitsu-SMU Urban Computing & Engineering Corp Lab