The Maritime and Port Authority of Singapore (MPA) and NUS Enterprise, the entrepreneurial arm of the National University of Singapore, has announced funding for 12 start-ups.
The initiative is part of the Port Innovation Ecosystem Reimagined @ BLOCK71 (PIER71)’s Smart Port Challenge (SPC) 2019, and the 12 start-ups have each been awarded S$50,000 in grant funding from MPA. The funding will enable them to conduct prototype development and test-bed their near market-ready solutions.
Over the next 12 months, the start-ups will be working on pilot projects in collaboration with PIER71’s maritime corporate partners, who will provide subject matter expertise, test data, as well as a platform to test-bed their solutions. Their grant applications were assessed based on the viability of their solutions in addressing maritime challenges focusing on technologies such as artificial intelligence, virtual and augmented reality, blockchain, robotics and wearables. The start-ups are:
Newton Services Research (local entity of Delvify)
Tropical Renewable Energy Engineering (TREE)
Speaking of two of the start-ups, Ron Fong, Regional IT Manager of Teekay said, “The use of Kanda’s VR solution to simulate a safety procedure known as Lock Out Tag Out will allow our crew to undergo training in a virtual tanker which is essentially a digital twin of the one they work on, without endangering their lives or damaging any equipment. We’re also working with Cerekon to explore a remote support system, that will enable our onboard engineers to use voice-activated head-mounted wearables to safely and more efficiently conduct equipment maintenance.”
Eight out of 13 of the previous grant recipients from Smart Port Challenge 2018 have completed their pilot projects, with the remaining five nearing completion. Ship Supplies Direct, a start-up focusing on improving marine logistics and supply chain, has reported up to 30 percent reduction in delivery costs and up to three hours less waiting time per delivery through their pilot project with PSA International.
Aeras Medical, a start-up with experience in the healthcare industry, also completed a three-month onboard trial with OMC Shipping. Their vital signs monitoring solution was used to monitor and manage crew health remotely, and achieved high adherence rate among the crew.
ABEJA is one of the first start-ups specializing in machine learning and deep learning in Asia. The organization has deployed over 200 artificial intelligence (AI) projects across various industries and specializes in implementing computer vision solutions. For the maritime industry, ABEJA is using video analytics and deep learning to automate many routine tasks that are manual and tedious. With improved operations, companies can help their employees achieve greater productivity and focus on higher-level endeavors. Backed by investors including Google, Nvidia, Salesforce, ABEJA was the only Japanese start-up to be commended by CB Insights (AI 100: The Artificial Intelligence Start-ups Redefining Industries).
Checking and cross-referencing financial and declaration documentation is a labour intensive process in the maritime industry. KoiReader has developed an innovative machine learning visual recognition system that extracts contextual data from documents (image and text) and enters it into legacy and ERP systems as actionable operational data. This improves the accuracy of filling up logistics data for regulatory clearance, brings down the cost of document processing from $2.50 to less than few cents per page, and reduces operational risks such as those associated with mis-declaration of dangerous goods.
A massive amount of communication goes on as part of daily vessel operations. However, the absence of a system to track and tag real-time and past information makes the retrieval of historical data difficult and time consuming. Harnessing its rich development experience, Megapixel has developed a solution called Globarius which has already been successful in the construction industry and is being adapted for the maritime industry to provide port/terminal operators with a knowledge repository, using progress tracking tools to collect, organize and report data.
ASA Development, through a decade of refinement and testing, has created the Contego Productivity Platform, a tool that has helped many organizations improve their operational efficiency, through standardization of process and centralization of data from remote sites. Contego Audit has helped many offshore and maritime companies make sense of previously fragmented processes. Contego Document Management has enabled organizations to mobilize management systems so all company information is at the fingertips of the people who need it the most. ASA’s team is dedicated to making the maritime industry more efficient through the use of tools that make life easier.
C-LOG is pioneering data collaboration in the maritime industry by making inter-organisational sharing of crew documentation easier and faster while respecting the data privacy of the seafarer. Addressing a challenge to develop a crew-centric platform that supports self-management and career development within the maritime industry, C-LOG is creating a solution that digitizes current paper-based processes by leveraging blockchain and AI. This would save the maritime industry between 30-50 percent of costs related to handling crew documentation.
Efficiency, safety and productivity are key concerns when it comes to the inspection and maintenance of vessels, particularly entire fleets. As a smart wearables solution provider, Cerekon’s AI based “Voice-driven Handsfree Inspection & Remote Support System” enables field personnel to conduct inspections, capture issues, conduct audits, diagnose problems and train staff, without the use of handheld devices or paper based systems. By wearing the specially designed wearables, personnel can safely conduct audits, identify leakages/cracks, access digital checklists, auto-generate job reports, by using simple human voice commands and live stream their work to seek remote assistance, without the need for bulky devices, leaving their hands free to carry tools/equipment or hold on-to hand rails for safety.
Dravam’s innovative fuel quality monitoring solution is an early detection system, scanning the entire bunker transfer for contaminants and currently providing near real-time information about the fuel quality. Installed seamlessly onto a vessel, this patented solution increases efficiency and assurance of bunkering operations, and addresses the industry’s need for faster fuel quality testing. With Singapore being the world’s first port to implement mass flow metering, to ensure quantity of bunker, the implementation of enhanced quality monitoring will enable Singapore port to ensure “Q&Q” (Quantity and Quality) of the bunker fuel.
Kanda is creating virtual and augmented reality platforms, coupled with machine learning to address the high costs associated with hiring and training within the maritime industry. Using a photo-realistic digital twin of an entire tanker, Kanda is building a virtual reality training session that allows crew members to move around the simulated tanker. Kanda has also created a unique technique that uses machine learning and situational judgment to validate how well a candidate’s response correlates to performance as part of the recruitment process.
Building on the success and traction its parent company, Edufied, had gain with its blockchain-based storage and verification solution for the education industry, Marified has created a digital wallet that secures a seafarer’s certifications against forgery and is accessible from anywhere in the world. This could reduce the administrative loads of flag states, port clearance authorities, shipowners, ship management companies and training centers by 90-97 percent. The use of blockchain technology also reduces the risks associated with hacking of current digital solutions.
Newton Services Research (local entity of Delvify)
Delvify builds and runs predictive AI models for businesses. Using state-of-the-art, built in-house AI tools including computer vision, natural language processing and automated speech recognition we help maritime enterprises clean, categorize and analyze their data to optimize operational processes. We take data such as past customer actions, combine it with third party data to create a forecasting and decision-making platform to recommend actions to vessel operators looking to optimize roll-pools, pricing and loadings.
In-hull ship inspections are both time-consuming and risky due to confined spaces, heights, lack of oxygen or presence of toxic or flammable gasses. By bringing their confined drone technology with AI defect identification and non-destructive testing (NDT) to the maritime industry, Performance Rotors can help to minimize such risks and costs. Their method uses NDT technology in addition to video, to allow for detailed inspection, digitalization, data science and management, which leads to easier comparison of results for better prediction and maintenance program formulation.
Tropical Renewable Energy Engineering (TREE)
TREE supports Singapore’s green port initiative by providing novel and innovative solutions towards Digital twin based marine asset health monitoring with real-time capability. TREE’s underwater drone-based solution aims to minimize downtime of marine assets by providing early information on potential failures of marine assets, to take timely preventive actions much faster than conventional maintenance methods. TREE also specializes in resource mapping and environmental impact of water bodies and coastal locations using novel sensor integrated surficial robots that provides vital information such as seabed bathymetry, water quality and tidal flow and wave conditions.
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