[GovTech] Seeking Solutions for Singapore Public Sector Problem Statements

Background / Description

InnoLeap Call for Solutions organised by the Government Technology Agency of Singapore (GovTech) seeks ground-up innovation to accelerate public sector’s innovation journey to transform public service delivery for the benefit of Singapore and Singaporeans in a Smart Nation. It offers participants an opportunity to ideate and co-create innovative digital solutions to address the needs of agencies.

Call for Action

We are seeking ideas and solutions that can solve the following problem statements stated under the 'Technical Specifications' section below. These ideas and solutions will be assessed and we will contact shortlisted applicants for discussion on further collaboration and development. Note that only shortlisted applicants will be contacted.

Technical Specifications


Last date for submission

Problem Statement #1– Open/Outdoor patrol of compound to detect safety incidents and compound defects 

Various activities take place in user’s outdoor open compound outside its working hours. The team receives feedbacks of faulty facilities or illegal activities and extra hours have to be put in to carry out inspections at night or after working hours. 

User is seeking potential AI and robotics solution to do the following:

  1. Outdoor compound patrol during non-office hours and based on various pre-programme routes
  2. Video/image/sensor analytics to detect safety incidents and compound defects, such as:
    • Smoking, speeding, unleashed dog
    • Pot holes, faulty lights
    • Detected incidents will be alerted to Ops Centre; and alerts should be accompanied by relevant original image/video/data and information on location of incident


1800 hrs (GMT+8), 15 Mar 2018


Update: Extended to 1800 hrs (GMT+8), 3 Apr 2018

Problem Statement #2 –Artificial Intelligence (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 address the following:

  1. Comprehend and answer general enquiry posed by visitors, in natural language (preferably multi-lingual)
  2. Print map and routes to help visitors get around the compound
  3. Upon visitor’s request:
    • Be able to call for taxi service
    • Contact (via intercom) directly with Operations Command Centre


1800 hrs (GMT+8), 15 Mar 2018


Update: Extended to 1800 hrs (GMT+8), 3 Apr 2018

Problem Statement #3 – 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. 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).


1800 hrs (GMT+8), 15 Mar 2018


Update: Extended to 1800 hrs (GMT+8), 3 Apr 2018

Problem Statement #4 – Crowdsource for information on historic building

While it is common to crowdsource online for various forms of charitable undertaking and fundraising, collection of information especially on historical or heritage content has been challenging and does not garner much public interest.

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 our diverse communities for the purpose of education, nation-building and cultural understanding.

Collected information on historic buildings would enrich existing database and potentially:

  1. Be used for analysis and assessment of heritage sites affected by urban redevelopment; 
  2. Be curated into cultural heritage stories for the general public


1800 hrs (GMT+8), 15 Mar 2018


Update: Extended to 1800 hrs (GMT+8), 3 Apr 2018

Problem Statement #5 – Mixed-Reality Training Simulation

Training has become an important element in transforming users’ skills to meet new challenges and the evolving environment in which they operate.

Current training methods are conducted in a conventional manner – eLearning videos and role play with props setups supplemented with 2D photos. Current delivery of training is lacking an immersive real world experience and different scenario can only be executed in role plays to display various forms of dynamism.

It is desired to have 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.


1800 hrs (GMT+8), 15 Mar 2018


Update: Extended to 1800 hrs (GMT+8), 3 Apr 2018

Problem Statement #6 – Risk Profiling of Healthcare Institutions

To enhance productivity of existing resource, user is interested in exploring digital and Artificial Intelligence (AI) solutions to support a risk-based approach to regulate the healthcare industry. An effective framework for licensing will require a good assessment of the risk profile of each potential healthcare licensee which will then be used to guide inspection approach before issuance of license.

It is desired to have an assessment system that is built on a dynamic and robust analytics model to:

  • aid in risk profiling of licensees;
  • recommend inspection and enforcement actions relevant to the needs of licensees; 

The assessment system (e.g. based on data analytics/AI solution) will support:

  • generation of decision trees, checklists and reports to guide decision making (e.g. inspection actions) prior issuance of license
  • 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 an evolving healthcare landscape, the system should continue to grow smarter and relevant with more data to support and refine the its analytics model.


1800 hrs (GMT+8), 15 Mar 2018


Update: Extended to 1800 hrs (GMT+8), 3 Apr 2018

Problem Statement #7 – Smart Auscultation

Auscultation is an important clinical tool for clinicians to support diagnosis of lung and heart conditions.  It is also an important tool to support management of patients in nursing homes, or who are bed bound at home.  Unfortunately, it is impractical to have a clinician on standby to interpret the auscultation sounds at all times.  

When a patient with cardio vascular disease (heart illness), chronic obstructive pulmonary disease (respiratory illness) or respiratory infection is discharged from the hospital, there is no current process available to monitor their heart and lung sounds at home. So critical events may be missed.  It also leads to unnecessary hospital or emergency department visits due to false alarms.

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 artificial intelligence that listens and classifies sounds to aid clinicians in making a decision.


1800 hrs (GMT+8), 15 Mar 2018


Update: Extended to 1800 hrs (GMT+8), 3 Apr 2018



1. Can foreigners take part?

Yes. Please refer to the Terms and Conditions of the Campaign for more details of eligibility.


2. What is the maximum size for a group to participate in the Campaign?

There is no limit on group size. Anyone or group of persons/entities can submit an idea or propose a solution. Please refer to the Terms and Conditions of the Campaign for more details of eligibility.


3. My idea or solution has previously been submitted to other campaigns. Can I still participate in the Campaign?

Yes, you can.


For more details on the call for solutions including registration and submission, you may find them at the InnoLeap web page which you will be directed to after clicking on the 'Proceed to Details' button below and filling in your basic details.

Preferred Business Model

  • R&D Collaboration

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