Food tracking and traceability systems can utilize Distributed Ledger Technology (DLT) and Internet-of-Thing (IoT) sensors to streamline the workflow of food supply chain management. Such a traceability system mitigates the complex business processes and speeds up the workflow of working through multiple business owners along the nodes in the value chain. This Technology Offer is a DLT application that can be used to manage the food supply chain. The technology aims to obtain transparency, ease of transactions and speed of delivery, synchronization, tracking and security. As an example, IoT sensors can be attached to livestock to obtain information about them from the source, and is uploaded to the ledger data of the node. When the livestock is shipped to the manufacturer, shipment tracking data can be uploaded. The transport is thus done with trackable ownership, possession and telemetry parameters such as location, temperature, humidity and activity. The manufacturer then processes the livestock, weighs the meat, packs and labels them. The label has a unique cryptographic QR code or NFC tag that links to the data citing the origins of the meat. The packaged meat is then shipped to the distributors, and eventually reaches the buyer. The final buyer can access a complete record of information and trust that the information is accurate and complete.

Crop production is one of the major sources of income in the world and more than half of our population depends on agriculture for livelihood. Crop cultivation is a tedious and laborious process. Crops infected with disease would be devastating to the farmer. One of the major concerns is the lack of knowledge and manpower to identify disease crops at an early stage to prevent the spread of infection to healthy crops. This Technology Offer is a fast and accurate, artificial intelligence (AI)-based computer vision system that can detect plant disease. This system is more reliable and scalable than the traditional, manual methods in detecting plant disease. It uses video analytics, which has an advantage that the algorithms automatically analyse large collections of images and identify features that can be used to categorize images with minimum error. Images of plant leaves are digitally pre-processed to get clear, noiseless enhanced leaf images. These enhanced images are then used for analysis to detect diseases. Generally, plant leaf image color and texture are unique features, which can be used to detect and analyse the diseases.

EBV is a ubiquitous human herpes virus, which spreads through saliva. EBV infects over 90% of the human population and can establish life-long persistence in the host. Most people get EBV when they are young, but they will not experience any symptoms until they get older. There are about 200,000 EBV-associated cancer new cases per year. Nasopharyngeal cancer (NPC) is one of EBV associated cancers which is endemic in a few areas including Southern China, Southeast Asia, North Africa and the Arctic. The highest NPC incidence rate is found in Southern China including Hong Kong. The association of NPC and EBV is nearly 100% in endemic areas. Unfortunately, more than 80% of the new NPC cases are diagnosed in stage III or IV, while the survival rate of stage IV NPC is only 38%. Early detection and treatment would help to increase survival rate. This invention is a new EBV-specific targeted agent which selectively kills cancer cells without affecting any normal cells. The uptake of this drug can also be traced by the fluorescent signal that can be used for cancer cells imaging. Currently, there is no single agent that can both image and kill NPC cancer cells at the same time.

According to the World Health Organization, cancer is the second leading cause of death worldwide and about 1 in 6 deaths is due to cancer. Chance of survival is greater if tumour is diagnosed when it’s still confined to the organ of origin (stage I). Survival rates decline when tumours are getting larger and spreading regionally (stages II, III) or even distantly (stage IV). For example, 93% of colon cancer patients are alive five years after the disease is diagnosed, but this number drops to only 11% if the cancer is diagnosed late and has spread to other organs. Circulating Tumour Cells (CTCs) are cancer cells shed from primary tumours into the bloodstream. They can be considered as an indicator of the presence of tumours during early cancer stage. However, the blood-based or liquid biopsy detection of cancer has always been challenging due to the heterogeneity and small size of CTCs. There is an urgent clinical demand for a more efficient cancer-detecting method.  Our technology offers early cancer detection for patients, tracking cancer metastasis, cancer relapse, and giving prognostic information by making use of our patented nanoparticles for CTC catching. This technology enables surgeons to identify the cancer cells location precisely and navigate the whole isolation process in real-time under magnetic manipulation. Besides, combining our technology with the current commercially available CTC detection kit, the sensitivity of cancer detection could be significantly improved by 20 folds when compared with the existing technology. 

An A*STAR spinoff with 5 years and millions invested into R&D, is seeking technology partners for the Eureka Clusters Artificial Intelligence (AI) Joint Innovation Projects. We measure emotions on facial expressions through their algorithm to deliver real time, non-intrusive analytics for various industries. Only one in the world using psychology circumplex model resulting more precise emotion measurements vs 7 basic emotions in the market Enable Real-time processing and analysis for large crowd and individual emotional state. Only individual Single analysis from competitors. Awards winning technology that account for cultural differences with high accuracy especially in Asia emotion Solutions include APIs, SDK, Apps, Cloud platform, Edge/Raspberry Pi Industry verticals used with emotion A.I include: Retail & Hospitality Selves and POS Emotion survey, guest services/butler/concierge measurement. Human Resource Candidate emotion pre-screening analysis and aptitude testing or training Fast-Moving Consumer Goods FMCG Unbiased genuine emotion feedback, Market research and focus group analytics Emotion insight into A/B testing & packaging Healthcare Emotional enabled devices, health companion, remote measurement via telemedicine. Point of interest Emotional insights into visitors in public attractions, reaction to museum artefacts Smart Cities and security Infuse emotion recognition into IoT for Perimeter Security, Access Control, Strategic Sites, Airport Security, Border Control, Sensors & IoTs, Mega Event Security Smart devices / Appliances Humanise devices to be interactive, empathetic and emotion enabled home devices Automotive Fatigue / frustration detection to reduce diver risk, Taxi passenger analysis on in-car ads Education Assist teaching on content receptiveness online, Mood-meter for classrooms or exhibitions.

The company currently faces the following issues: Turnkey processes consist of multiple manual steps to cater to different customer needs which involve a wide variety of combinations of items for assembly  Each customer’s requirements vary due to different/unique product packaging designs, and there are over 100 combinations of items for assembly Customers also have varying order patterns due to urgency and periodic surges (i.e. product launches). Typical batch of production vary from 3000 to 20,000 pieces per job type with an average around 8,000 pieces per job type. The company is seeking technologies/solutions that can address the following objectives: Reduce production cost Increase workshop capacity (per sqm) Identify work step process of manual activities for process improvement   

Anti-viral technology for packaging would be a significant step forward in increasing consumer confidence when purchasing and handling consumer goods packages. The increasing potential for viral contamination is forcing consumers to be wary of handling products that may have been handled by store personnel or other consumers. Anti-viral packaging technology would allow consumers to confidently choose those products with the least risk of further contamination and eliminate any need for package clean-up when arriving at home.  To offer solutions to consumers’ rising technical and emotional needs, a company is looking for technologies that can be applied to direct food contact packaging, both flexible and rigid, capable of reducing or eliminating viruses and other external pathogens on the packaging surface. 

A company is seeking to develop a new epoxy solder paste, with improved performance compared to conventional solder, for feature size <100µm. This new epoxy solder paste is expected to be implemented in applications such as mini/micro-LED, advanced packages SiP, automotive. While existing conventional solder paste technologies is being used in various applications today, they have limited performance in terms of drop test, die shear and adhesion. It gets more challenging when dealing with very small interconnect applications. For example, tin bismuth (SnBi) alloy has been widely used in low temperature reflow applications, but the brittleness is a concern for reliability. The company is thus seeking potential partners to develop a novel epoxy solder paste, as a joint reinforcement paste, that can improve the performance of small feature size (<100µm) applications. The company is open to various modes of collaboration and would like to partner with technology owners that are open to develop their existing technologies based on their requirements.