Challenge Owner(s) |
Park Royal Collection, Seatrium, Toyota Tsusho
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Organiser(s) |
Enterprise Singapore, Agorize
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Industry Type(s) | Digital/ICT |
Opportunities and Support | Total of over S$210,000 of grants and funding support |
Application Start Date | 28 October 2024 |
Application End Date | 10 February 2025 |
Website | Click here to learn more |
About Challenge
AI Open Innovation Challenge 2024
In collaboration with Enterprise Singapore and Agorize, the AI Open Innovation Challenge (AIOIC) offers a global platform for startups and SMEs to push the boundaries of AI technology. Whether you specialise in AI for operational efficiency and guest experience, social and environment impact, or surveillance and security, this is your opportunity to showcase your expertise and drive the next wave of innovation
Challenge Owner(s) | Park Royal Collection |
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Industry Types(s) | Digital/ICT, Hospitality |
How might we implement an integrated end-to-end Guest Recognition AI solution at the critical guest touch points to improve guest experiences?
In the hospitality industry, creating personalised and seamless guest experiences is key to fostering loyalty and increasing customer satisfaction. As a PARKROYAL COLLECTION hotel we seek to improve operational efficiency and provide guests with a personalised experience and we believe technology such as facial recognition offers a compelling opportunity. Facial recognition can streamline check-in processes, enhance personalised greetings, and help staff anticipate guest needs by identifying them upon arrival.
This challenge seeks a solution that leverages facial recognition technology to optimise guest interactions, while ensuring compliance with data privacy laws and easy integration with our existing hotel management systems such as Opera and (mobile) check-in platforms. The right solution would not only improve guest satisfaction but also reduce operational burden on staff, offering a more streamlined, cost-effective, and personalised hotel experience.
What We Are Looking For
Technical Requirements:
- Facial Recognition Accuracy: The system must be able to accurately identify guests upon arrival with minimal errors, even in high-traffic areas.
- Integration with Existing Systems: The solution must integrate seamlessly with systems like Opera (hotel management) and mobile check-in platforms, enabling automatic updates of guest data.
- Data Privacy and Security: The solution must ensure compliance with local privacy regulations, such as PDPA, by collecting minimal guest data (e.g., last name, photo, eligibility, allergies) and securely storing or processing this information, preferably using on-premise systems. If cloud based solutions are used, they must be secure.
- Operational Efficiency: The system should reduce the need for manual data entry and help staff serve guests faster by automatically pulling up relevant guest information.
Performance Requirements:
- Guest experience: The main driver for this challenge is to improve the guest experience. Solutions will therefore be evaluated based on their impact on the experience as evidenced by being mentioned in guest reviews (for example, mentioning the greetings by last name at check in and dietary awareness) as well as an uptick in review scores from our guests.
- Cost effectiveness: Please see below section
Challenge Owner(s) | Seatrium |
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Industry Types(s) | Digital/ICT |
How might we develop an AI-based detection and analytics systems to identify key yard performance parameters to help us track and improve productivity, safety and efficiency?
As an ETC company, for Seatrium tracking what is going on in our construction sides is important since it helps us to monitor key productivity, safety and efficiency parameters. Currently, Seatrium works with many different large contractors in different yards across the world. These contractors can include many different parties such as welders, cable layers etc. Currently, we have an existing practice where our safety managers and or project managers will conduct weekly (or sometimes daily) walkarounds to ensure work is done in compliance with the relevant productivity, safety and efficiency requirements and standards.
What We Are Looking For
Technical Requirements:
We would like to be able to track the following use cases:
- Yard activities – grinding, welding, cutting, cable pulling, scaffolding etc
- Yard Safety risk – drop objects, tripping, sparks, flame, fire, wet surface
- Productivity evidence – Weldment defects and completion, tag recognition, pressure recorder and gauge, sensor reading
- Of the aforementioned use cases, we would expect a solution provider to be able to implement at least 3-4 use case
- Ideally, the solution would also provide an integration with LLM’s so that our staff can interact with the system by using natural language
- We would expect the system to be able to provide real-time intervention for certain (safety related) use cases
- Ideally, the solution should include a dashboard to monitor key KPI’s for safety, quality and productivity. If this is not feasible, we are open for this to be included in a further commercial rollout post POC
- The solution should eventually be able to be deployed on a variety of IOT devices such as smart glasses, robot docs, smart cameras etc
- The data source of these are from the various IOT devices such as smart glass, robot dogs or smart cameras. The AI detection must be able to provide analytic insights for process improvements
- We are looking for a solution that can provide us operational insights to improve our operations
Performance Requirements:
The business performance of solutions will be evaluated on a case-by-case basis. However, generally speaking, we would be looking for the following business benefits:
- We are looking for an efficiency gain of 20% more in terms of productivity increase
- We would be looking to save approximately S$100-200K on personnel doing ad-hoc patrolling
Challenge Owner(s) | Toyota Tsusho |
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Industry Types(s) | Digital/ICT, Logistics |
How might we use AI and computer vision technologies to improve safety and productivity in warehouse operations?
The focus of this challenge is to leverage innovative AI and computer vision technologies, to gather and analyze real-time data to enhance safety, streamline processes, or improve the overall efficiency of warehouse operations. The technology should further serve as platform for further automation in logistics, increases in operational productivity, and improved productivity.
What We Are Looking For
Technical Requirements:
- Our priority is the safety challenge use-case mentioned above but we welcome solution providers that can support in any of the use-cases mentioned (productivity, quality, automation).
- We prefer a solution that can grow into a platform so we can use one vision and AI system to support all these application areas. Since we are looking for innovative solutions, we understand if solution providers currently cannot offer this.
- The solution should use vision systems (e.g. cameras) to perform the monitoring
- Monitoring and alerts should be real-time or near real-time
- Able to monitor the warehouse for safety compliance (e.g., apparel/gear, obstacles, proximity)
- Able to monitor the operation such as detecting defects, item counting
- Comply with common privacy and security standards
- Camera equipment is to be selected, but for safety reasons in some locations the solution should not use Hikvision cameras.
- We prefer a cloud-based solution so that the solution can be further developed and rolled out more quickly across our locations.
- We are looking for a decrease in damages and incidents of 20% or more.
- We are looking for a productivity gain of 10% or more for the packaging line (speed / reduction in wrong packaging resulting in reduction of redelivery)
Industry Types(s) | Digital/ICT |
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If you have an innovative AI solution, we invite you to submit an additional proposal under the "Open Category," where the corporates listed below are seeking cutting-edge technologies!
Proposals received may be reviewed by those companies, enhancing your chances of unlocking exciting business opportunities.
Please check the requirements listed for each statement. You may submit multiple proposals for different Open Category statements by creating a "NEW PARTICIPATION".
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