This Internet of Things (IoT) software architecture addresses a decentralized framework to provide the ability to exchange data between IoT devices autonomously without any centralized server. In recent years, the development of IoT applications has become increasingly complex. Thus, our technology addresses this problem by providing the ability to

(Phương pháp phát hiện quyết định mềm giúp giảm thiểu độ phức tạp bằng cách sử dụng phương pháp phát hiện tuyến tính đơn giản và phương pháp giải mã) PURPOSE: A soft-decision detecting method and a deciphering method using the same are provided to improve big complexity compare with an MLD(Maximum Likelihood Detection) mode by elementarily applying

In this solution, location awareness technology is integrated with mobile applications (Android and IOS) to support location/group-aware interaction (e.g., delivery of mobile advertisements). The portal technology is itself agnostic to the choice of the underlying location technology (e.g., WiFi, GPS, BLE). The technology provides an effective CRM-

This Ultra Wideband (UWB) positioning solution gives high-accuracy, low-latency indoor position and location of moving objects. This is suitable for applications that derive contextual information through monitoring interactions between tracked objects and their environments. Common Real Time Location Systems (RTLS) includes Wi-Fi, Bluetooth Low En

Wearable devices with online detection functions that can identify various activities of daily living (ADLs) and fall occurrence of the user, and provide real-time fall protection before fall impact when a fall occurs.The detection functions can be set with individualized parameters to provide precise real-time ADL and fall detections to prevent fa

An Internet of Things real-time system that monitors the water consumption of toilet facilities in a facility to supplement its Building Management Systems (BMS). At the core of this system are water sensors that can unobtrusively keep track of water-flow volume and temperature. As connected devices, these sensors are integrated to an IoT Smart gat

Mobile crowdsourcing continues to suffer from problems such as unpredictable and unfair task completion rates and worker churn. We believe that such deficiencies can only be rectified via a centrally-coordinated crowdsourcing approach, where tasks are recommended (pushed) to people based on their predicted movement trajectories. Moreover, our crowd

PROBLEM GENERAL CHALLENGES ● Data noise : useless and distracting information ● Data dispersion : users lose control of their data to internet companies, e.g. Google, Facebook ● Privacy and security threats : identity theft, fraud ● Lack of personalisation and relevance : inappropriate push ads leading to increase use of ad-blockers HEALTHCARE CHAL

Our system can recommend the appropriate mobile applications for the user's situation recognized using the sensors in the mobile device. It enables an application to be automatically executed in a situation where and when it is essential without user's manual invocation. Our system identifies the user's behavioural patterns using a sequential patte

By effectively utilizing smartphones to reach out and engage a large population of mobile users, mobile crowdsourcing can become a game-changer for many urban operations, such as last-mile logistics and municipal monitoring. To overcome the uncertainties and risks associated with an opportunistic model of traditional crowdsourcing, we developed a c

Using advanced computer vision and artificial intelligence techniques, we provide a software package that analyzes facial expressions and reads emotions with high precision in real time from face images or video. This allows us to objectively analyse people's reactions, behaviour, and experience. Most other techniques for emotion recognition classi

Our company believe in an open world in which everyone has access to a data infrastructure - an open world created through a shared data platform that helps form partnerships and unlocked value for all, ultimately increasing the capacity to advance businesses, society and humanity. Our company are building systems that connect billions of devices a

Affect plays a key role in learning and to achieve enhanced learning outcome, it is crucial that the active engagement and motivation of the learner be sustained through this continuous effective feedback loop between the tutor and the learner. It is thus essential for tutoring systems to sense the affect of learners, analogous to a personal tutor

Capacitive sensing solutions are based on interference of objects or people with the electromagnetic field. Most commercial capacitive sensors have high sensitivity with limited range of less than 5cm for material detection, water level, counting in production line etc. Such sensors are not suitable for seat occupancy detection. Current seat occupa

We build specialised AI virtual assistants for enterprises to automate conversations for internal and external customer support. As a market leader in Asia, we support multiple Southeast Asian languages to help companies scale up regional operations. Our projects span across various fields, from sensitive industries such as BSFI, healthcare and gov