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Fast-moving consumer goods (FMCG) and other product components come in a wide variety of shapes, sizes and packaging configurations. During the manufacture of such products, a key challenge for automation is to effectively handle and manipulate such diverse products during production or logistical processes. Users planning to automate their production lines typically have to take into consideration the use of either multiple grippers for different product types, or incorporate an automated tool changer with added complexity and cost. To address this challenge, a Singapore start-up has developed a universal soft robotic gripper designed to manipulate a wider range of product sizes by incorporating a resizeable gripper base. Gripper adjustment is automatically carried out via an integrated computer vision system thus minimizing the need for human intervention during pick-and-place processes. The gripper's soft fingers also minimize damage to products during the gripping process. Vacuum Suction Gripper Incorporating extendable linkages in the gripper arms for resizeability, the gripping workspace remains adaptable to handle products of various sizes. The gripper arms may either take the form of fingers or suction cups configuration. With 5 vacuum cups embedded, the gripper is ideal to handle pouched products or carton boxes of various sizes. Gripper weight: 2 kg Gripping Width: 150 mm - 215 mm Load capacity: Up to 16 kg (under ideal condition when the gripper is in contact with smooth and flat surface) Gripping Mode: Vacuum suction  Operating Pressure: Clean, dry air up to -70 kPa Operating Temperature: Up to 100 °C Computer Vision System An integrated computer vision system provides the gripper with the ability to recognize the type, location, and orientation of the product to be picked, and commands the gripper to adjust the gripping space and pose to pick the product from the correct location. This process is fully automated without requiring human intervention. For increased utility, the computer vision system may also be configured to perform quality inspections of products being handled. The vacuum suction gripper can be used to palletize or depalletize carton boxes or pouched products (such as coffee powder, sugar packs, rice packs etc.) of various sizes up to 10kg. The computer vision system will be deployed if the working space is not in an organised condition (i.e., randomized locations and orientations of the products), such as when products are scattered in a tote bin, randomly positioned on a conveyor etc. The market value for FMCG robotic packing in the APAC market is estimated to be at USD 1.1 billion and the global market value is worth USD 7.8 billion. Sources: Cobots Transforming the Global Industrial Robotics Market—Opportunities Forecast (Frost & Sullivan) Passport, The Megabrands: The Top 100 FMCG Brands Worldwide (October, 2018) Technavio's library The reconfigurability of this gripper provides high adaptability to many applications, compared to conventional grippers with fixed gripper bases offering limited gripping ability for products of diverse shapes and sizes. Benchmarking tests have been conducted to compare the grippers with other commercially available grippers. The results showed that this universal gripper is able to provide a 22% increase in gripping efficiency. Moreover, compared to using multiple grippers and tool changers to handle different products, this one-fits-all gripper has the potential to help users save on operating costs by up to 36%. Manufacturing, Assembly, Automation & Robotics, Infocomm, Robotics & Automation

Bitumen is widely used as an essential binder for many applications due to its excellent adhesive properties, waterproofing, and high durability. However, the conventional application of bitumen involves on-site melting at high temperature exceeding 250°C, necessitating rapid pouring on the surface with additional torch-on, which poses complications and safety risks. Moreover, the on-site melting process releases harmful gases, including hydrogen sulphide and volatile organic compounds (VOCs), endangering workers and nearby areas. To address these challenges, there is a need to develop a safer form of bitumen that does not compromise material performance. This technology transforms solid bitumen into a single-component liquid bituminous coating at room temperature via a simple and cost-effective formulation using solvents, fillers, and additives. The fillers used in the single-component liquid bituminous coating can be made from waste materials such as food waste. Such sustainable fillers could offer comparable material performance to conventional industrial fillers. This high-performance bituminous coating has excellent workability at room temperature, fast drying, and easy production without the need for heating. Thus, this technology eliminates the hazards associated with conventional application of bitumen, providing a safe and energy-saving alternative. One practical application of this technology is a roof waterproofing system that complies with Singapore standards SS133:2017 and/or SS374:1994 (2023). This technology is available for R&D collaboration, IP licensing, and test-bedding with industrial partners in the construction and infrastructure sectors.   Free of smoke and fumes Simple and energy-saving production (no heating required) Water-resistant, corrosion-resistant, and UV resistant Fast-drying and odourless after drying Easy application with excellent coverage Can be easily applied by brush, spray, squeegee, or trowel Compatible with various substrates and structures (dry or damp surfaces) Applicable to both horizontal and vertical surfaces without substantial runoff Option to incorporate sustainable fillers Complies with SS133:2017 and/or SS374:1994 (2023) standards The potential applications include: Primer and paints Waterproofing coating Sealants Adhesives Binder additive in various substrates, including cement, concrete, metal structures, and castings The technology offers the following unique features: Transform solid bitumen into a single-component liquid bituminous coating at room temperature via a simple and cost-effective formulation Option to incorporate sustainable fillers Simple, eco-friendly, and energy-saving process without heating Can be applied to different structural elements for waterproofing, damp proofing, and corrosion resistance Materials, Composites, Chemicals, Coatings & Paints, Organic

One-fifth of all local and imported food in Singapore and about 15% of all food globally is spoiled during the supply chain due to inadequate food transport facilities. To overcome this, the startup offers a patented technology in the form of a hardware device that emits a magnetic interference field. It can be used throughout the supply chain starting immediately after harvest and all the way to storage and display. In particular, this technology has great potential to be applied during the food transportation when the chance of spoilage is highest due to reasons such as overripening caused by supply chain delays. The startup is looking to collaborate with food logistics and storage companies, as well as retailers, to integrate their solution. This technology locks the water inside fresh food, minimises bacteria and mold growth, thus extending the food shelf life by at least 30%. Each small semi-circular device can cover a region of 24 inches in diameter and 15 inches in height. The device is completely passive and requires no energy or maintenance. The useful life of the device is 3 years and the energy field emission conforms to WHO safety guidelines. This technology can be applied to slow down food spoilage in: Cold chain containers Non-cold chain containers Food transport trucks Food storage baskets Refrigerators (Domestic and Commercial) Supermarket shelves It may also be applied during farming process to enhance plant growth and reduce water requirements.  The unique value proposition of this technology lies in the following areas: Extends food shelf life in fluctuating ambient conditions No energy or maintenance required  Effective and economical in reducing food waste by up to 40% food preservation, supply chain, food storage, fresh food Materials, Nano Materials, Foods, Packaging & Storage

Despite the increasing prevalence of obesity, all FDA-approved medications, which act indirectly on the central nervous system to suppress appetite or on the gastrointestinal tract to inhibit fat absorption, suffer from poor effectiveness and side effects. Most of these medications have been withdrawn from the market. Although liposuction performed in clinics can effectively remove targeted subcutaneous fat, it suffers from invasiveness, high costs, associated risks, induction of compensatory increase of visceral fat. Although thermal lipolysis induced by high-power laser energy is a non-invasive way to reduce subcutaneous fat, its effectiveness is limited and it often causes skin burning. Both liposuction and laser lipolysis cannot improve whole-body metabolism. The technology owner has developed a transdermal mild photothermal therapy directly acting on the root of evil, i.e. subcutaneous fat, to induce its ameliorating remodelling (browning, lipolysis, angiogenesis, and apoptosis), based on the injectable hydrogel encapsulated with photothermal agent. Browning refers to the conversion of energy-storage white fats into energy-burning brown fats. Further, combining with pharmaceutical therapy by codelivery of pharmacological agent leads to a strong therapeutic synergy. This method not only ensures high effectiveness and low side effects due to localized and targeted application but also remotely creates significant improvements in whole-body metabolism (e.g., reduction of visceral fat, relief of diabetic symptoms). In addition, this technology is applicable for cosmetic purposes, e.g., body contouring and reduction of double chin. The technology owner is seeking potential biotechnology companies, clinicians, and other partners to clinically translate and commercialize this technology. Possible modes of collaboration include R&D, process, and product development. Photothermal agents and pharmacological agents are encapsulated in biocompatible and biodegradable hydrogel which retains the therapeutics to ensure sustained effects. After being injected into subcutaneous fat depots (e.g., belly fat) using an insulin needle or an automated injection device with minimal pain, NIR irradiation at each injection site will be applied for only five minutes using a portable laser source, one to three times a day for several days without the need of another injection. This described procedure (injection + laser treatment) can be applied once or several times. Obvious mass reduction of the treated fat and other beneficial effects on the whole-body should be resulted. In contrast to laser lipolysis, this procedure shall be much more effective, pain free without causing skin burning, and profoundly beneficial. It can be conducted in clinics by professionals or be self-administered at home for long-term care. The primary application area of our technology is for treating obesity and associated metabolic diseases (e.g., type 2 diabetes). This technology can also be used for non-therapeutic or cosmetic purposes, including contouring, sculpting, or slimming one or more regions of the subject’s body for a desirable appearance. To be specific, this technology can locally remove stubborn fat below the chin, or in thigh, abdomen, thorax, flank, upper limb, upper body, lower limb, back, etc.   As highlighted by Mordor Intelligence, the anti-obesity drugs market was valued at about US$ 1,690 million in 2020, and it is expected to reach US$ 4,250 million in 2026, registering a CAGR (compound annual growth rate) of 15% over the forecast period, 2021-2026. And according to IMARC Group, the global body contouring market reached a value of US$ 7.3 billion in 2021, and is expected to reach US$ 11.1 billion by 2027, exhibiting at a CAGR of 6.9% during 2022-2027. This technology provides an unprecedented solution with high effectiveness and low risks. Non-invasive targeted treatment on subcutaneous fat Drastic reduction of subcutaneous fat and visceral fat Relief of obesity-associated metabolic diseases (e.g., diabetes) Low risks and low side-effects High effectiveness Self-administrable Obesity, Diabetes, Metabolic Diseases, Transdermal Therapy, Personal Care, Slimming Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

One use of AI, including deep learning, is in prediction tasks, such as image scene understanding and medical image diagnosis. As deep learning models are complex, heatmaps are often used to help explain the AI’s prediction by highlighting pixels that were salient to the prediction. While existing heatmaps are effective on clean images, real-world images are frequently degraded or ‘biased’-such as camera blur or colour distortion under low light. Images may also be deliberately blurred for privacy reasons. As the level of image clarity decreases, the performance of the heatmaps decreases. These heatmap explanations of degraded images therefore deviate from both reality and user expectations.  This novel technology-Debiased-CAM-describes a method of training a convolutional neural network (CNN) to produce accurate and relatable heatmaps for degraded images. By pinpointing relevant targets on the images that align with user expectations, Debiased-CAMs increase transparency and user trust in the AI’s predictions. Debiased-CAMs are effective in helping users identify relevant targets even on images affected by different clarity levels and multiple issues such as camera blur, poor lighting conditions and colour distortion. The AI’s prediction also becomes more accurate. As the model is trained using self-supervised learning, no additional data is needed to train it.  The training for Debiased-CAM is generalisable, and thus applicable to other types of degraded or corrupted data and other prediction tasks such as image captioning and human activity recognition. Used to train a convolutional neural network (CNN) to produce accurate and relatable heatmaps for degraded images. By pinpointing relevant targets on the images that align with user expectations, Debiased-CAMs increase transparency and user trust in the AI’s predictions. It also increases the ability of meeting regulatory standards to deploy CNN models in the following applications, where explainable AI is required. Healthcare, eg. Radiology Autonomous Vehicles   Produces accurate, robust and interpretable heatmaps for degraded images Works on images with multiple degradation levels and types such as blurring and improper white balance Agnostic to degradation level, so that enhancement can be applied even when the level is unknown Perceived by users to be more truthful and helpful as compared to current heatmaps distorted due to image degradation Method of training can be applied to other degradation types and prediction tasks Explainable AI Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

Lists are an indispensable part of the online experience, often used to show many results, such as products, web pages, and food dishes. These items can be neatly sorted by a desired attribute like price, relevance, or healthiness. Listed items often have multiple attributes. However, instead of being able to sort multiple attributes simultaneously, consumers are currently limited to sorting only one attribute at a time. This makes searching for the desired item tedious and confusing. Imma Sort supports interpretable and multi-attribute sorting. Sorting for two or more attributes is possible. In contrast to existing search technology, Imma Sort trades off the smoothness of the sorted trend for the main attribute to increase ease of prediction for other attributes, by sorting them more approximately. Results for specific attributes can be made smoother by setting higher importance weights. Provides intuitively sorted results sorted by two or more attributes to improve decision-making and user experience Results can be customised by allocating higher weightage for selected attributes Enables users to perform multi-attribute sorting in any existing list interface without requiring sophisticated spreadsheets or data visualisations Can be integrated into search and recommendation systems across a wide range of applications Can also be incorporated into various search and recommendation systems for more effective search results. Examples of possible applications: Food dishes can be sorted by healthiness and tastiness Hotels can be sorted by price and distance Sorting by price and rating would generate results that generally trend in one direction for both attributes. This makes it easy for users to anticipate the values of multiple attributes as they move down the list, without having to construct a mental list for the secondary attribute. By decreasing users’ mental effort, this will improve decision-making and increase satisfaction. Multi-Attribute Sorting, e-commerce, algorithm Infocomm, eCommerce & ePayment, Enterprise & Productivity