"In the movie, Spiderman relies on his keen spidey senses and superpowers to save people in need and defeat his enemies, and this has inspired young people across the world. Having a set of Spiderman skills is a dream for many people, and we ourselves are young people who pursuing our dream and passion for robotics. We hope to design a robot like Spiderman that can be applied for use in post-disaster rescue situations.” This is Tang Kaiqiang’s inspiration for his Arachnobot!
Tang’s story sounds like it should come straight from the Spiderman franchise. His team collected a few medium size spiders from nature, and observed them back in their laboratory, recording information on their unique movements and analyzing the data systematically. After comparison of advantages and disadvantages of these movements with other insects, they evaluated the potential and combined the data with actual mechanical technology. Utilizing concepts from three-dimensional modeling, mechanical simulation and kinematics simulation, they were eventually able to design and build “Arachobot”, a six-foot multi-functional robot.
Better Air for Better Life
A new system that uses graphene air sterilization and purification methods to provide clean, breathable air. This system was designed in order to target a range of airborne threats to human health through a low cost, portable and adaptable module.
Utilizing a graphene purification system results in multiple potential applications, including reducing the spread of airborne diseases in public places such as hospitals and on public transport, removing odors in closed environments and lengthening the shelf life of perishables in supermarkets by limiting local bacteria. As a result, the sterilization system can have potential benefits in the health, social, economic and environmental sectors. The graphene composite itself function very much like a catalytic converter and therefore has a large surface area. Through generation of electronegative currents and high conductivity it is able to bind harmful substances ranging from formaldehyde to ammonia, eliminating them from the air and therefore cleaning the local environment.
As experienced education volunteers, the team found that many of the current practices involved in delivering educational activities can have a lot of shortcomings. The proposal highlights key areas that can be focused on to improve education process so that they can target delivering better services to people who lack access. Firstly, key points and guidelines are provided to assist in creating content and curricula for teachers to deliver to students.
In addition, a platform has been designed to facilitate more constructive feedback from both teachers and students, who are able to engage directly with volunteer education experts for advice. This can help to locate areas where education systems are experiencing capacity issues, so that resources will be allocated more efficiently. Finally, “User Portrait” technology allows users to input their requirements, with a personally tailored education programme produced as a result.
A platform for improving farmers' knowledge of and recognition of fertilization technologies. Overuse of nitrogen and phosphorus fertilizer is widespread, and often leads to severe groundwater nitrate pollution and surface water eutrophication. As a result, China is at risk of becoming the world's greatest polluter of surface and coastal waters. The project aims to create a mobile based interactive fertilization technology communications platform easily accessible by farmers working across China.
The core concept of this technology is the use of human-computer interaction design, robot design and intelligent technology to identify blind spots for farmers, providing an "interactive formula” for farmers to apply fertilizer more efficiently, whilst avoiding overuse. The interactive formula recognizes and adjusts unreasonable nutrient dosages and provides recommendations on the proportions that should be used of each nutrient and type of fertilizer in the farmers 'fertilization scheme.’ Through this project, they hope to create a suitable network that can play a role in addressing non-point source pollution.
I Can Sea It
Marine disasters are been occurring in China to varying degrees, ranging from storm surges to coastal erosion, changes in sea level that affect communities and salt tide invasion. In addition, there are potential risks of catastrophe as a result of a tsunami landing on China’s shores, especially in regions prone to flooding already such as coastal city Shanghai. The I can Sea It team have a strong background working in marine disaster prevention and mitigation, and after many years in the field have found that data on the prevalence of public marine hazards in China is not clear, and the disaster responses inadequate to deal with the consequences.
Emergency response knowledge and capacity is also lacking emergency knowledge and lack of capacity, and public awareness of how to both prepare for and respond to disasters is low. They emphasize the need for a more intuitive and more attractive means of public engagement to further enhance the awareness and improve local disaster prevention and mitigation capacities. The team are exploring the use the augmented reality technology and existing information and footage of previous marine disasters to simulations that put the user in the middle of the disaster zone, so that they can experience the challenges they could face in a real life situation. With ongoing development of China's marine disaster reduction science and education base, disaster scenarios to reproduce and risk simulation can form a key component of risk education programmes.
A methodology identifying signs of fatigue in drivers when they blink, using new models and picture recognition technology. In recent years, due to the improvement of people's living standards, more and more people have private cars. However, as the pace of people's lives continue to accelerate and work pressure continues to increase, increased frequency and levels of fatigue can make the risks of traffic related accidents higher. This method looks to improve on current systems to identify fatigue, introducing a new method for identifying signs of fatigue in drivers when they blink. Current face recognition technologies are expensive and cannot be scaled effectively to address wider issues, and this work uses a different approach to produce general use systems to judge levels of fatigue. Using contour scanning algorithms to compare faces with an ‘awake’ standard to calculate levels of fatigue and produce a fatigue value.
The two algorithms obtain data to predict whether the driver is currently experiencing fatigue or is about to enter a fatigued state, and in accordance with the results of the decision make an appropriate warning.This platform looks to solve challenges in parking situations and increase the efficiency and speed at which users can locate parking spaces in the city. By sharing information on parking zones to a central data system, the platform can act to guide drivers to the nearby parking spaces, saving time and leading to potential spillover benefits that help to solve traffic congestion in cities. Furthermore, by checking the platform prior to setting out on their journey, the platform could influence a shift in decision making towards utilizing public transport systems rather than driving their own personal vehicle to the destination. Therefore this invention could contribute to solving wider traffic congestion and air pollution challenges.
This platform looks to solve challenges in parking situations and increase the efficiency and speed at which users can locate parking spaces in the city. By sharing information on parking zones to a central data system, the platform can act to guide drivers to the nearby parking spaces, saving time and leading to potential spillover benefits that help to solve traffic congestion in cities. Furthermore, by checking the platform prior to setting out on their journey, the platform could influence a shift in decision making towards utilizing public transport systems rather than driving their own personal vehicle to the destination.
Therefore this invention could contribute to solving wider traffic congestion and air pollution challenges. Also the platform is designed to allow park-zone owners sharing their places while they drive out and thus maximizes the possibility to utilize vacant park-zone resources. This concept is aligned with the current wave of shared-economy and has commercial scaling up potential.
Sign Out Loud
A system for converting sign-language hand signals into a phone type input. The system has already been piloted with people with hearing difficulties. By solving the communications barrier the hearing impaired face when interacting with other people, this innovation hopes to fight issues with inequality that often restrict access to working opportunities and education.
Exclusion from these opportunities can often lead to negative pressures on both those with hearing disabilities and their families, both financially and in terms of delivering care, which will be felt most by those in low-income households. The team intends to develop a ring-based sign language translation system, through the conversion of sign language into EMG signals. Gyroscope angle conversion can convert these signals into text and voice, helping to improve the communications capacities of people with hearing disabilities. Measuring an EMG signal involves the application of electronic instruments to record muscles as they rest and contract. In addition, the team would like to introduce sign language learning software based on this system, teaching standard sign language skills.
Every year there are 700,000 more lung cancer patients in China, and with an annual growth of 26.9% and the International Anti-cancer Alliance estimates that 1/3 of lung cancers can be cured if detected in the early stages of development. However, for many people access to the necessary channels for detecting lung cancer are highly restricted. As a result many cases are discovered too late, when treatment is more difficult and expensive. Smart Med aim to ensure that early lung cancer screening can be made more widely available and affordable to those who live in the poorest conditions and do not currently have access. Si Maide's first high-performance catalytic light-emitting disease pre-diagnostic analysis technology utilizes gas detection methods to screen for signs of lung cancer.
The academic community has proved the feasibility of early screening for cancer, and the applicability of low cost, universal, noninvasive sampling. Through the establishment of "remote gas collection station", they propose that tests can be carried out by collect patients’ breath samples in gas storage bottles. These bottles can then be prepared by the local examiner and sent off to a laboratory for testing to check whether the exhaled samples shows indicators for lung cancer. The advantage of this approach compared to traditional screening methods lies in its accessibility. This therefore acts as an express service for quickly collecting samples and returning results, and there is no need for high point-testing costs. This innovation has great potential for scalability, and could quickly establish nationwide coverage to ensure that everyone has access to early testing facilities.
TRASH.IO + WALL-E
A garbage bin labeling and automatic garbage identification system, this creation looks to improve existing method for garbage collection, sorting and disposal. Today, there are still many imperfections in waste classification systems around the world. This innovation looks to address these issues by systematically designing classification systems that can solve deeper issues ingrained in waste disposal mechanisms. Two major problems were identified in the initial research process: 1. People's awareness of the importance of garbage classification is low 2. Garbage collection systems are by no means perfect. Integrating ideas from psychology, machine learning, machine vision and graphic design, Garbage Grabber proposes new methods. In order to solve the problem of weak garbage classification, they designed a set of efficient and versatile visual identification systems. This system breaks through barriers in identifying specific types of garbage, and adjusts according to the user's position so as to achieve the highest classification efficiency.