The intelligent speech training system aims to use real-time speech recognition to analyze whether the user’s speech contains too many filler words and derogatory words. In addition, facial expressions are also an indispensable part of the speech. The system can analyze whether the user’s expressions are appropriate, so as to achieve expression management. When the standard is not met in the speech, the system will also use a warm reminder to let users know their shortcomings in real time. Furthermore, the system also comes with the functions of replaying video and viewing reports, which can be sent to experts for further evaluation. Finally, what is indispensable is how to prepare a high-quality and impressive report file in advance. The system can help users quickly analyze the word count, picture, and font size of the report file, and quickly give users suggestions for modification.
Tryonn is a SaaS company. We help fashion businesses to develop AR solutions for consumers to try their products online. Tryonn’s driving technology is our AR try-on technology to help users try on fashion products. Consumers are expecting sophisticated and engaging AR-shopping experiences, but the AR-commerce solutions in the market now are not corporating comprehensively in AR-shopping for development and marketing, which AR can only be used as an additional feature. Our AR try-on technology is comprehensive in that it supports a wide range of fashion products and textures, and the AR effects can be used as marketing tools for fashion sellers in social media to promote their products. The charging mechanism of Tryonn is based on the sales commission rate; The commission rate at the current stage is 10%.
Accidents will occur if the drivers is drowsy when driving. To avoid this, we design and prepare an instrument called “Driver Drowsiness Detection System” which uses Facial Recognition Technique to detect the status of the driver. The system uses Raspberry pi 4 as microcontroller to control the operation of the system, and webcam is used to monitor the drivers’ status. The features of “Driver Drowsiness System ” are as follows:
- LED, LCD display and human-voice system are adopted to let passengers (including visually impaired and hearing impaired passengers) know that the driver is drowsy. When the driver is drowsy, passengers can immediately wake up the driver to protect their own safety and avoid traffic accidents
- When the driver is drowsy, the system will immediately send an email to his/her supervisor so that he/she can contact the driver to ensure the safety of the driver and passengers, and to avoid traffic accidents
- When the driver is drowsy, the system will immediately take photos and record the date and time of the driver’s drowsiness so that follow-up action can be taken by the public transport service and let the company analyze the frequency of the driver’s drowsiness when driving so that the company may rearrange the working hours and resting time of drivers to ensure the health of the driver
Despite the countless tele-therapy apps, a huge segment of the population has been neglected: employees. According to a survey in 2020, 27% of the Hong Kong workforce is suffering from a mental health problem. We knew we had to solve this. Introducing mindAId, which enables employers to provide employees with necessary mental health resources such as sessions with licensed therapists with easier scheduling, in-office support groups, AI chatbot and data-driven metrics. Hence, providing the much-needed support to employees and boosting their productivity, while employers simultaneously meet their SDG goals
Anti-bacterial crab bio-bandages and crab bio-dressings are bio-degradable as it took 42 days and a month for complete bio-degradation respectively. They are better than commercial bandages such as Nexcare Hydrocolloid as the disposal of anti-microbial crab bio-bandages with bio-dressings would no longer pose burden to landfilling. Anti-microbial crab bio-bandages with bio-dressings are anti-bacterial with degree of deacetylation of DD% 82.6% from FTIR (due to the presence of chitosan) even without the application of other anti-microbial agents and hence can provide complete protection of wounds from skin and soft tissues infections and haemostatic (due to the presence of chitosan). After testing and certification based on IS997:2004 and BS EN 13726-1, they met many requirements specified and should be eligible for marketing.
The plastic pollution has affected globally for decades. Bio-disposables such as roasted kombucha (of fruit skins) cups and straws met many requirements specified in GB 18006-2008 and ISO18188:2016. No bacterial colonies were present in drinking water kept overnight in roasted kombucha cups or soaked with kombucha straws, so they are safe for serving as biodegradable disposables. The production cost for the production of roasted kombuchas using lemon skins was lower than that of orange skins as only 15 minutes were required for the roasting of lemon skins (cf. orange skins: 30 mins) at 120oC in increasing waterproofness and strength. Structural changes were investigated using FTIR.
In response to the global pandemic (COVID-19), we are responsible for thinking of the solution to prevent the outbreak in our city. In this project, the focus would be the solution to prevent viruses from travelling up through the rooftop ventilating pipe of the foul water stack. It is proposed to customise a sterilising device for ventilating pipe of drainage system with Titanium Dioxide quantum dots photocatalyst technology for disinfection. The design is able to promote inactivation of viruses on surfaces and integrate with current ventilating pipes for lowering the risk of spreading viruses through the system. The device installed on the vent pipe outlet has two main functions: 1. To use the QDs phtocatalyst technologies to sterilise the vent pipe internal surface to provide a long lasting antiviral and antibacterial properties; 2. To use the antibacterial sanitising solution in the spiral section of the device so that the air contact as much solution as possible to minimise the breeding of germs.
In the digital era, Classical Music plays a dominant role in our daily lives. It often concurs in commercials, games, movies, and more. In general, Classical Music falls between the Baroque, Classical, Romantic, and Modernist eras. Among all these different musical periods, musicians nowadays might be proficient only to a number of them. With the AI, composers, musicians, or even non-specialists without Classical Music backgrounds could quickly get on to their journey in Classical Music composition. Recently, AI music composition has become more popular and accessible to people. However, most AI music generator platforms only focus on creating modern Music. Moreover, they usually categorize all genres of Classical Music into a single category – Classical Music. Since most research in this field adopted LSTMs to generate Music, it is worthwhile to discover different types of machine learning methods such as CNN-GANs for this task. Perhaps the proposed models could set successful precedence in this research area. This project aims to generate Classical Music using generative models – Bi-LSTM and CNN-GAN to compose Classical Music for four Classical Music genres and evaluate their performance respectively and collectively. Also, to further explore and strengthen the area of AI in music composition.
Hong Kong has been experiencing traffic problems and congestion in recent years, especially peak hours. This project is co-operated with ESHF I.T Solution Development Limited to develop a Big data platform for Hong Kong traffic flow analysis which is under the conceptual framework of Smart City for Hong Kong 2.0. The platform is aimed to consolidate real-time traffic data and illustrate to solve and provide suggestions for Hong Kong traffic issue. This is an innovative project to develop a dynamic platform for traffic monitoring. A series of cameras will be set up in highways, tunnels, and some regions that suffer traffic problems. The real-time traffic will be captured by creamers and an artificial intelligence model will label all vehicles and update the traffic monitoring dashboard. The dashboard will reflect statistic of real-time traffic, predict and alert the upcoming traffic flow and assist in understanding the Hong Kong traffic circumstance.
ReHertz is an online conferencing tool for real-time music making and audio production collaboration. Our mission is to bring sounds together wherever and whenever with technology. The pandemic has made it difficult for people to make music together face-to-face. Many musical groups have resorted to practising online through video conferencing apps, but delays cause synchronisation problems. ReHertz solves this problem by synchronising audio streams and matching the sounds in phase. ReHertz synchronizes and processes multiple inputs in real time to help our users produce the best music by overcoming latency issues. Performers will first sing individually to the backing track, and the streams will be sent from their computers to the Conductor’s computer. ReHertz will then synchronize the streams from different performers and play it back to the conductor within 1-2s. The conductor could then set the synchronized stream as the backing track for the performers, allowing performers to sing along with the whole choir’s latest recording. This way, the performers can listen to other’s voices and sing in real-time even without high-speed internet connections, recreating the experience of group music making instead of only hearing their own voices, as with current software solutions, revolutionising online music collaboration.