| Challenge Owner(s) | Cap Vista |
|---|---|
| Organiser(s) | Cap Vista |
| Industry Type(s) |
Air Transport, Circular Economy & Sustainability, Digital/ICT, Land Transport
|
| Opportunities and Support | Opportunities to validate solutions with challenge statement owners through fully-funded trials |
| Application Start Date | 24 February 2025 |
| Application End Date | 1 April 2025 |
| Website | Click here to learn more |
About Challenge
Cap Vista Accelerator - Solicitation 3.0
We publish challenge statements and invite global companies and startups to submit proposals which could enhance Singapore's national security.
After evaluating the submitted proposals, we will invite suitable companies and startups to pitch their proposals and to address any queries from our evaluation panel which will comprise all relevant parties. We will then award the successful companies and startups to validate their proposals. This could be in the form of proofs-of-concept, experiments, demonstrations, or any other reasonable ideas as proposed by the companies and startups.
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Air Transport |
We are seeking novel approaches to enhance the selection process for pilots
Artificial Intelligence could possibly assist companies in adopting novel approaches to enhance their candidate selection process to identify and engage potential candidates.
What We Are Looking For
We are seeking novel approaches to assess and identify potential candidates for the pilot vocation. Your approach should:
- Clearly explain the concept, critical attributes (for example: limited to perceptual ability, psychomotor, multitask performance) to identify, engage, and select the most suitable pilot candidates.
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Digital/ICT |
How might we enhance security for processing private data using public Graphics Processing Unit (GPU) infrastructure?
Public GPU infrastructure could provide organisations with agility and flexibility in leveraging Artificial Intelligence (AI) and Machine Learning (ML) capabilities. However, there is a need to mitigate potential exposure to cyber-attacks on shared computing environments, and have effective security controls over data access and processing.
What We Are Looking For
- Novel ways to securely process private data on public GPU and computing resources
- The solution may leverage hardware-based controls to mitigate software vulnerabilities
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Circular Economy & Sustainability, Digital/ICT |
How might we ensure resilient and secure device-to-device communication during a mobile communication network disruption?
When a mobile communication network capacity is disrupted, the consequences can be severe for emergency responders
What We Are Looking For
We are looking for Android-compatible or Android-integrated software solutions to provide resilient and secure mesh node connectivity through mobile devices for device-to-device communication during a mobile communication network disruption
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Digital/ICT |
We are seeking innovative digital solutions to better track, manage, and recommend asset movement
Computer applications that can track asset movements and their localities and support the deconfliction of asset movement requests and locality availability. The application should be able to provide decision support recommendations to prompt the operator to move assets in and out of the localities based on predefined rules and events
What We Are Looking For
Digital solutions that can optimise operator workflow, reduce conflicts, and enhance operational safety by:
- Introducing automation and decision support technologies to relieve cognitive workloads.
- Aggregating operator inputs to generate and update unified situational picture of the assets
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Digital/ICT |
We are seeking solutions to detect, recognise, and track objects easily with different sensor performance and viewpoints
Changes in sensor performance and viewpoints may require repeated algorithm refinements or developments to detect, recognise, and track objects
What We Are Looking For
We are looking for a software that accurately recognises objects without additional development efforts in the different scenarios below:
- Sensor resolution of the object.
- Sensor’s look angle at the object.
- Sensor’s distance from the object.
- Using one or a combination of visual sensors
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Circular Economy & Sustainability, Digital/ICT |
We are seeking an on-premises, low-code, customisable software tool to extract accurate answers from a large repository of documents
It is time-consuming to manually search and extract relevant information from a large repository of documents (e.g. ppt, pdf) with acronyms, hand-drawn images, graphs, charts, and tables
What We Are Looking For
We are looking for an on-premises, low-code, customisable software tool that is able to extract accurate and relevant answers from a large repository of documents (e.g. ppt, pdf) with jargons, acronyms, hand-drawn images, graphs, charts, and tables based on users’ submitted text queries. The answer should also provide the link to the source of information
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Digital/ICT |
How might we detect unsafe behaviours or conditions without any prior trained data?
Artificial Intelligence (AI) has been used in video surveillance but its application could be limited by its need for context-specific training data
What We Are Looking For
- A video analysis platform that can automatically detect unsafe behaviours or conditions in real-time without predefined examples
- A context-aware AI, capable of interpreting safety policies and applying them dynamically
| Challenge Owner(s) | Cap Vista |
|---|---|
| Industry Types(s) | Digital/ICT, Land Transport |
How might we utilise cameras and computer vision to provide accurate geographical location for Unmanned Ground Vehicles (UGVs) and self-driving vehicles?
Unmanned Ground Vehicles (UGVs) and self-driving vehicles need to accurately locate themselves in outdoor urban terrain, even when navigational systems such as Global Navigation Satellite System (GNSS) signals are intermittent
What We Are Looking For
- Solutions that provide accurate and reliable location coordinates with existing vehicle sensors such as onboard cameras
- Solutions that enable vehicles to navigate seamlessly with intermittent/disrupted GNSS signals
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