The Government Technology Agency of Singapore (GovTech) has issued a call to co-create innovative digital solutions for addressing the needs of the public sector as part of its InnoLeap programme.
The InnoLeap programme seeks to connect public sector agencies with challenging problem statements and Research Institutes (RIs), Institutes of High Learning (IHLs), and commercial entities with innovative solutions. It offers participants an opportunity to ideate and co-create innovative digital solutions to address the needs of agencies.
The submission of solutions closes on 15 March. More details are available at: https://ideas.ecitizen.gov.sg/egp/process/EGOV/EideasChallenge/?challengeId=20069.
The problem statements are as below.
Open/Outdoor patrol of compound to detect safety incidents and compound defects
The team receives feedbacks of faulty facilities or illegal activities taking place in the user’s outdoor compound outside working hours. This results in extra hours being put in to carry out inspections at night or after working hours. The user is seeking potential Artificial Intelligence (AI) and robotics solution to patrol the outdoor compound during non-office hours based on various pre-programmed routes.
The solution should incorporate video/image/sensor analytics to detect safety incidents and compound defects, such as smoking, speeding, unleashed dog, pot holes and faulty lights. The detected incidents have to be alerted to Ops Centre and alerts should be accompanied by relevant original image/video/data and information on location of incident.
AI solution to provide concierge and visitor assistance
To enhance productivity of existing manpower resource and visitor experience, user is seeking an AI solution to provide concierge and visitor assistance in an outdoor open compound. The solution is needed at designated fixed location within the compound.
The solution should be able to comprehend and answer general enquiries posed by visitors, in natural language (preferably multi-lingual). It should be able to print map and routes to help visitors get around the compound. Upon request from a visitor, it should be able to call for taxi service and contact the Operations Command Centre directly via intercom.
Take photographs of tall objects like buildings and statues easily
It is physically challenging to photograph tall objects like statues and buildings (height from 2 to 12 metres) for photogrammetry [1]. It is desired to leverage on digital technologies to take photographs of tall objects to obtain information of the subject (i.e. dimensions – basic length, width and height).
Crowdsource for information on historic building
It has been challenging to crowdsource information especially on historical or heritage content and attempts have not usually garnered much public interest.
The user is seeking ideas and implementation (e.g. social experiments) to create engaging and interesting ways to collect information on historic buildings that will help to preserve and celebrate the shared heritage of Singapore’s diverse communities for the purpose of education, nation-building and cultural understanding.
The collected information on historic buildings would enrich existing database and potentially be used for analysis and assessment of heritage sites affected by urban redevelopment. It could also be curated into cultural heritage stories for the general public
Mixed-Reality Training Simulation
The user is looking for a safe and interactive Mixed Reality solution, preferably to incorporate AI/ machine learning for educating and training users, where their unique nature of operation works (e.g. interviewing skills) and situations are simulated in the virtual environment.
Current training methods are conducted in a conventional manner – eLearning videos and role play with props setups supplemented with 2D photos. This lacks an immersive real-world experience and different scenarios can only be executed in role plays to display various forms of dynamism.
Risk Profiling of Healthcare Institutions
An effective framework for licensing healthcare institutions requires a good assessment of the risk profile which can then be used to guide inspection approach before issuance of license.
The user is interested in exploring digital and AI solutions to support a risk-based approach to regulate the healthcare industry.
The idea is to build an assessment system based on a dynamic and robust analytics model to aid in risk profiling of licensees and recommend inspection and enforcement actions relevant to the needs of licensees.
The assessment system should support: 1) generation of decision trees, checklists and reports to guide decision making (e.g. inspection actions) prior issuance of license; and 2) full data query, data mining and intel reporting tool to meet the reporting needs of user.
The assessment system will eventually be integrated into the user’s enterprise licensing system. In view of an evolving healthcare landscape, the system should continue to grow smarter and relevant with more data to support and refine its analytics model.
Smart Auscultation
Auscultation refers to listening to the internal sounds of the body, usually using a stethoscope. It is an important clinical tool for clinicians to support diagnosis of lung and heart conditions and it plays a key role in the management of patients in nursing homes, or who are bed bound at home.
When a patient with cardio vascular disease (heart problem), chronic obstructive pulmonary disease (lung problem) or respiratory infection is discharged from the hospital, there is no solution available to monitor their heart and lung sounds at home. So critical events may be missed or there might be unnecessary hospital or emergency department visits due to false alarms.
Therefore, the user is seeking a Smart Auscultation system or solution that will greatly benefit telehealth initiatives for the elderly patients where constant access to medical staff is limited. Such a Smart Auscultation system or solution could be powered by AI that listens and classifies sounds to aid clinicians in making a decision.
[1] The American Society for Photogrammetry and Remote Sensing defines photogrammetry as the art, science, and technology of obtaining reliable information about physical objects and the environment, through processes of recording, measuring, and interpreting images and patterns of electromagnetic radiant energy and other phenomena. The input to photogrammetry is photographs, and the output is typically a map, a drawing, a measurement, or a 3D model of some real-world object or scene