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Force sensing is used in a wide variety of applications and one of the primary methods of detection is the use of capacitance sensors. These sensor systems are based on parallel plate and MEMS technology. The force is detected by the shift in capacitance value. This response is nonlinear with respect to the load range and leads to a mismatch between the perception of the human operator and the actual output level. The systems are also difficult to scale due to higher cost of MEMS for larger sized sensors. The technology developed enables accurate detection of volume changes even in low load range by employing micro-pillars (micro-protrusions) which are just tens of microns in dimension. These micron structures are formed in a conductive rubber using an original microfabrication technology. These capacitive sensors have a high linearity with respect to the load and provide a more intuitive operation where human perception matches the output characteristics. The sensitivity characteristics – linearity, load range, and capacitive response to load, can be tuned to suit the application by adjusting the design of the micropillars. Since the change in capacitance is governed by the deformation behaviour of the conductive rubber, this technology is also robust and has a high durability and lifespan. This capacitive force sensors technology based on microfabrication technology has the following features – Force sensing utilizing micro-protrusions (pillars) formed on a conductive rubber electrode. Highly linear response to external load for a more intuitive operation. Ability to adjust the sensor characteristic and feel by tuning the micro-protrusions and rubber hardness. Excellent durability due to the use of elastic deformation of conductive rubber for force sensing. The technology can be used to provide a much better user interface for various input devices spanning multiple technology fields – Smartphones, smartwatches, XR and other ICT related devices. Game controllers. Electronic musical instruments. Digital cameras. Stylus pens. Use case as a sensor exist in both industrial and commercial products – Robot hands. Grip / Touch detection. The technology provides a highly durable force sensing solution which is well suited for long and continuous usage. The linear output characteristics and the possibility to tune the output by design make it ideal for use in several applications, especially where human operators are involved. Pressure Sensor, Force Sensor, High Sensitivity Capacitive Sensing, Linearity, Load Sensor Electronics, Sensors & Instrumentation, Infocomm, Human-Computer Interaction, Augmented Reality, Virtual Reality & Computer-Simulated Environments, Robotics & Automation, Internet of Things

In an era where environmental challenges are escalating, the need for precise and timely flood monitoring has never been more critical. Addressing this pressing issue is a state-of-the-art flood detection system that offers unparalleled accuracy in water level detection, down to the centimetre, and in real-time. Designed to resist environmental disturbances, this technology ensures consistent and reliable performance. Its self-sufficiency is highlighted by its connectivity via mobile networks and an ultra-efficient power system, which includes a solar panel ensuring sustained operation even in less-than-ideal sunlight conditions. The primary beneficiaries of this technology are government agencies and enterprises involved in environmental infrastructure projects. Additionally, businesses facing environmental challenges and seeking robust solutions will find this invention invaluable. By providing instant alerts on potential flood threats and integrating seamlessly with third-party management systems, this technology addresses a significant gap in the marketplace, ensuring safety, reducing potential damages, and saving lives. Multiple high precision pressure sensors for accurate sensing pressure change due to rising water
 Built-in SIM and included IoT network connectivity works anywhere independently by support LTE-M, NB IoT and GPRS mobile networks
 Unlimited battery life
Ultra efficient power system with built-in 750mAH rechargeable battery and solar panel, 3-months battery life without Sun Auto alerts for sudden flood
support push notification, email, sms or custom alerts
 Enterprise Ready
Cloud based Enterprise Dashboard and ready API for integration
 Compact size and easy to install
8cm x 8cm x 7cm (inclusive screw-on mounting for standard 3” PVC pipe)
 Weather proof
rain resistant and operates from -20℃ to 60℃ The flood detection system's advanced capabilities make it a versatile tool with applications spanning multiple industries: Urban Planning & Infrastructure: Municipalities can integrate the system into city planning, placing sensors in flood-prone zones, underpasses, and near water bodies. This aids in timely evacuation and infrastructure protection during heavy rainfall or sudden water level rises. Agriculture: Farmers can deploy the system in fields to monitor water levels, ensuring optimal irrigation and preventing crop damage from unexpected flooding. Real Estate & Construction: Developers can use the technology to assess flood risks in potential construction sites, ensuring the safety and longevity of structures. Environmental Research: Research institutions can utilize the system for studying climate change effects, water table fluctuations, and the impact of deforestation on water levels. Insurance: Insurance companies can integrate the technology to assess flood risks in specific areas, aiding in policy formulation and claims verification. Disaster Management: Emergency response teams can deploy the system in regions prone to natural disasters, ensuring rapid response during floods. Tourism & Recreation: Resorts and recreational areas near water bodies can use the system to ensure guest safety, especially in regions with unpredictable weathers. Transportation: The system can be installed near roads, railways, and bridges to monitor water levels, ensuring safe transit and timely maintenance. This technology enables marketing various products, including smart city flood management systems, agricultural water management kits, construction site safety tools, and environmental research equipment. Its adaptability meets diverse industry water monitoring needs. The flood detection system's market size is influenced by key factors: Urbanization: Expanding urban areas increase flood risks due to inadequate drainage. With 68% projected to live in cities by 2050, urban flood detection systems are crucial. Climate Change: Environmental changes cause more extreme weather events and rising sea levels. This has escalated flood risks in previously safe areas, emphasizing the importance of flood detection systems. Agricultural Dependency: Agriculture employs over 26% of the global population, creating a significant market for flood detection in farming. Infrastructure Development: Growing infrastructure projects demand protection from environmental threats like floods. Considering these factors, the global market for flood detection systems is expected to be worth billions, with steady growth. The technology's attractiveness to the market lies in: Real-time Detection: Its centimeter-precise real-time water level detection is invaluable for damage prevention. Low Maintenance: Self-sufficient power and weather-resistant design reduce long-term maintenance costs. Versatility: Easy installation and compact design suit various settings, from urban areas to remote agriculture. Integration: Compatibility with third-party systems and diverse alert mechanisms adapts it to different industries. Environmental Focus: Growing awareness of climate change and its impact drives demand for technologies addressing flooding and rising sea levels. In summary, the technology's precision, adaptability, and response to global environmental challenges make it highly attractive to the market. This innovative flood detection and environmental monitoring technology offers several unique value propositions (UVPs) that set it apart from the current "State-of-the-Art" systems. Precision in real-time flood detection is unparalleled. It can detect water level changes down to the centimeter within minutes, providing stakeholders with timely and accurate data. Self-sufficiency power and connectivity. With a 750mAH rechargeable battery and solar panels, it operates independently of external power sources. It also supports multiple mobile networks for seamless connectivity, even in remote areas. Environmental robustness ensures it remains operational in challenging conditions, overcoming a limitation of many existing systems. Versatile alert mechanisms, including push notifications, emails, SMS, and custom alerts, ensuring critical flood warnings reach recipients promptly. Compact and user-friendly design simplifies installation, contrasting with bulky and complex systems. Holistic enterprise solution with a cloud-based Enterprise Dashboard and API integration capabilities, making it easy for businesses and government agencies to incorporate into existing infrastructure and management systems. In essence, the UVP of this technology lies in its precision, self-sufficiency, robustness, and user-centric design. It not only addresses the limitations of the current "State-of-the-Art" but also anticipates the evolving needs of a world grappling with environmental challenges, making it a future-ready solution in flood detection and management. Real-time flood detection and alerts, Pressure sensing for water level monitoring, Mobile network connectivity, Solar-powered self-sufficient monitoring, Enterprise environmental tools, Disaster prevention Infocomm, Internet of Things, Wireless Technology, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

This technology delivers physical climate risk analytics for any asset or portfolio. It combines climate hazard with consequence models, offering richer insights than typical climate risk screening tools. Outputs detail financial repercussions from damages, projected downtime, portfolio risk correlation, increased climate-induced risks, and various other actionable risk metrics. The technology has global coverage, uses high-resolution input data (30x30m), validated computations, and proper uncertainty quantification. Models integrate climate dynamics, providing these same risk metrics for future climate. Stochastic event simulations underpin all the models, which uniquely enables the computation of climate risk correlation across portfolios. Outputs: Climate risk analysis results for any asset or portfolio of assets. API or dashboard for users to access the physical climate risk model. Technical features: Multi-hazard climate risk analytics (coastal and riverine floods, hurricanes, heat, tornadoes and more). Global coverage at high-resolution. Projections for current and future climate scenarios. Compliant with data-standards used by the insurance sector. Based on millions of stochastics event simulations, which enables proper calculation of correlated portfolio losses, full probabilistic analysis, or extraction of specific simulations for stress-testing. Output in quantified and actionable metrics: expected losses for all recurrence levels, average annual loss, projected downtime, portfolio risk correlation, increased climate-induced risks and more. Underpinned by validated methods, high-resolution datasets, efficient computation, and leading scientific research. Proper uncertainty quantification and auditable results. Ideal collaboration partners include consulting firms, ESG SaaS enterprises, auditing firms, financial data aggregators and insurance firms. The product can be used for three main areas of application: Structuring risk financing products: can be used to develop new insurance products, insurance products in new geographies, set triggers for parametric insurance and develop other risk transfer products. Physical climate risk disclosures: support quantification and disclosure of climate risk, meet increasing regulatory requirements, promote ESG strategy, increase investor confidence in demonstrated climate-resilient entities, etc. Climate risk management: support climate-informed investments, strategies for protecting at-risk assets, acquisitions of new assets, develop climate-resilient loans, test and improve supply-chain resilience, screening for physical or nature-based protection potential, and much more. It is estimated that the global market for the use of this technology is approximately US$2.5 billion and growing, including customers in the Insurance, Investment & Risk Management, and Financial Disclosure industries. A recent acquisition of RMS – the leading global provider of climate and natural hazard risk modelling and analytics – by Moody’s Corporation for approximately US$2 billion is a clear signal of the growing interest and need for such services in the market. The technology offers high quality and high-resolution climate risk information for the entire world, quantified in financial and operational metrics. A key value proposition is the ability to compute proper portfolio risk across the globe. This is possible due to the unique computational architecture: generating millions of stochastic extreme events, each of which propagates to complex hazard intensity footprints, which propagate further to impacts on physical exposures. These simulations can capture impacts to multiple assets by the same events, as well as risk correlation and clustering across portfolios. Tests have shown that alternative methods overestimate portfolio risks by up to 400%. Other solutions which utilize event sets also have limited geographic coverage (eg: USA). This product also considers the impact of climate change. No other known product provides the comprehensive coverage which includes risk from future climate change scenarios. The technology is underpinned by machine-learning enhanced datasets. The digital-elevation model (DEM) used is high-resolution (30x30m) and is the lowest average and standard error among known global DEMs. The risk outputs from the models are precisely attributable. Unlike black-box models in the market, this product can pin-point the specific sources of risk and uncertainties. For instance, it can determine whether a building's flood risk stems mainly from flood intensity or the building's inherent vulnerability. The sources of uncertainty can be queried and areas where data-refinement can reduce the uncertainty can be identified. This is useful for purposes of auditing results, or for better targeting strategies for risk reduction. Infocomm, Big Data, Data Analytics, Data Mining & Data Visualisation, Artificial Intelligence, Computer Simulation & Modeling, Geoinformatics & Location-based Services, Financial Technology

This innovative wearable device, integrating an actuator and a sensor, addresses a pressing issue in the field of neuromuscular disease diagnosis and management. By enabling in vivo measurements of muscular elasticity and employing machine learning models for disease severity evaluation, it offers an objective and accessible solution. The wearable conforms to the human body, facilitating quantitative assessments by correlating elastic moduli with voltage amplitude, thereby eliminating the subjectivity of traditional assessments. It significantly enhances accessibility, breaking down barriers to muscle assessment, and introduces a remote monitoring capability that allows continuous tracking of muscle health during rapid joint stretches. This technology serves medical professionals, patients with neuromuscular diseases, and rehabilitation centers by providing a reliable tool for improved diagnosis and personalized treatment plans. In summary, this wearable device represents a transformative approach to assessment of muscle-related pathophysiological conditions, offering objectivity, accessibility, and remote monitoring, ultimately enhancing the quality of care and treatment outcomes. The core components of the system include a pneumatic actuator for controlled mechanical force generation, a piezoelectric sensor to measure muscle response, and integrated machine learning models for disease severity evaluation. The system is designed to seamlessly conform to the human body, its wearability ensures patient comfort and enables a point of care continuous monitoring of muscle health, a groundbreaking advancement in the field of muscular biomechanics assessment.  This technology offers a wide array of potential applications spanning various industries. In the healthcare sector, it can help with the diagnosis and treatment of neuromuscular diseases and find use in tele-rehabilitation programs. Athletes and sports professionals can benefit from improved performance and injury prevention. This technology could help in creating customized rehabilitation equipment designed for specific patient needs and conditions, making the recovery process more effective and personalized. Routine muscle health assessments can be realized, promoting proactive healthcare management across the board. The booming wearable market and recent advances in material science has led to the rapid development of the various wearable sensors, actuators, and devices that can be worn, embedded in fabric, accessorized, or tattooed directly onto the skin. Wearable actuators, a subcategory of wearable technology, have attracted enormous interest and many wearable actuators and devices have been developed in the past few decades to assist and improve people’s everyday lives. In addition, The global diagnostic wearable medical devices market size is estimated to grow by USD 7,333.3 million at a CAGR of 15.2% between 2022 and 2027. (Source: Technavio). The system provides a substantial improvement over the current state-of-the-art in muscular biomechanics assessment. Unlike existing methods that are either subjective and qualitative or hindered by bulky, stationary instruments, this system introduces a precise, objective, and patient-friendly solution. Its wearability, facilitated by a soft textile-based cuff, enables point-of-care assessments and home-based monitoring, dramatically enhancing accessibility and convenience. Furthermore, with dynamic movement analysis it can providing valuable insights into muscle behaviour during real-world activities, a dimension largely unexplored by current techniques. These position the system as a transformative technology, poised to revolutionize the diagnosis and management of neuromuscular diseases and expand the horizons of muscular biomechanics assessment.  soft robotics, sensor, wearable, soft actuator, muscle, muscle assessment, neuromuscular assessment, biomechanics, neuromuscular diseases, actuator, wearable sensor, skin sensor Electronics, Sensors & Instrumentation, Actuators, Healthcare, Diagnostics, Medical Devices

Anti-corrosion is important for piping systems because corrosion can lead to several problems including reduced flow capacity, leaks and ruptures, contamination, increased maintenance costs and reduced lifespan. While there are several approaches to mitigate these problems, a possible approach is to utilise thermoplastic materials which are lightweight, durable, and resistant to corrosion. This technology is a thermoplastic piping system lined with HDPE/LDPE linings that is corrosion-resistant, do not generate any waste (waste material can be recycled) and has a reduced carbon footprint. The piping system is easy to assemble and install, providing long service lives due to the high-quality thermoplastic materials being deployed in the system. By laying these thermoplastic pipes underground using native soil without sand-bedding, a reduction in CO2 is achieved and offers users a sustainable piping solution against conventional piping materials. In combination with proprietary welding technologies, the technology has the lowest rate of leakages with high guarantee of preservation of drinking water quality when used in water piping systems. The technology owner is seeking for co-development and test-bedding opportunities with asset owners to integrate the technology into their infrastructure, particularly with hydrogen producing and transporting companies. The technology is a thermoplastic piping system that exhibits the following features: Efficient corrosion protection against aggressive media Excellent product properties (static puncture resistance) Long service life (minimum service life is 50 years, up to 100 years) Maintenance free – pipework is homogenous, longitudinally force-locked and leak-tight Reduced carbon footprint compared to conventional piping materials Easy to install using permanently leak-tight welding technologies Suitable for clean and efficient trenchless installation Black piping and fitting are resistant to UV and corrosion free against chemicals The technology is a thermoplastic piping system that has been successfully deployed in several industries. Possible applications include (but are not limited to): Hydrogen Plant Hydrogen transport (or transportation of natural gas) Semiconductor Photovoltaic Life Science Water and Wastewater Chemical Processing Oil & Gas Mining Power Plant Municipal Shipbuilding Environmental Engineering Irrigation Long life expectancy (up to 100 years) Maintenance free Simple and economical installation Toxic free and recyclable hdpe, high density polyethylene, thermoplastic, piping systems, anti-corrosion, corrosion resistance, low leakage, polymers, hydrogen gas pipe Materials, Plastics & Elastomers, Chemicals, Polymers, Environment, Clean Air & Water, Mechanical Systems, Sustainability, Circular Economy

Manual built environment inspection suffers from multiple issues such as shortage of manpower, human error and miscommunication. To overcome these issues, there is a need for an automated and centralized inspection system capable of detecting multiple defects of interest and presenting the inspection results in an easy to access format. The technology presented uses data acquired from LiDAR and Cameras mounted on an autonomous robot to inspect building interiors and external facades. The system utilizes an AI engine and can accurately detect defects such as cracks, holes, and other built imperfections stated in building quality guidelines such as CONQUAS. Defect reports can be autonomously generated after the acquired image and LiDAR data has been processed by the AI analytics engine.  The system is composed of an autonomous robot with a mounted camera and LiDAR and has the following features - Support for multiple hardware platforms such as wheeled robots and drones to allow the use of most suitable means of inspection. AI based defect detection for cracks, holes, stains, cornerness, and other structural and visual defects at >3mm unevenness. Capability to inspect for air quality, hazard detection and safety monitoring (PPE Detection). Simple and intuitive user interface with customizable repots minimizing possibility of miscommunication. Generation of defect reports compliant to Singapore Building and Construction Authority recommendations for Built Environment - CONQUAS. Defect and user management system. Capability to integrate with external Building Information Management (BIM) systems and third party apps. The system can be used for digitalization and autonomous inspection of built environments. It covers both the indoor and outdoor inspection by allowing use of multiple robot platforms. With the removal of manual inspection requirements, the system helps improve the consistency and objectiveness of inspections and helps in increasing productivity. The technology is applicaple for tasks related to management of a building from construction to maintenance. By automating and centralizing the built environment inspection, the system improves productivity, significantly reduces the time required by the inspection process, and improves the safetly of the personnel involved. The solution is useful during the entire lifecycle from construction to maintainence and provides automated reports compliant to recommendations of the Singapore Building and Construction Authority. The solution can potentially cut down the time required for inspection by several hours per residential or commercial unit. Building Indoor and Facade Inspection, Built Environment Inspection, CONQUAS, CIS-7, Quality Assessment Electronics, Sensors & Instrumentation, Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

Root rot diseases in food crops are devastating diseases currently without solution. Examples of such diseases are the Basal Stem Rot in oil palms, Fusarium Wilt in bananas, and Phytophthora Root Rot in citrus.  While fungicides have in vitro efficacy, most do not possess phloem mobility and therefore cannot reach the roots to effect treatment. Thus, despite widespread usage of fungicides, root rot diseases are still inadequately treated or are not treated at all. This Nano Delivery Technology imparts phloem mobility to fungicides, allowing them to reach the roots from the application site to treat and protect the crops. The technology is designed as a ready-to-use adjuvant that works with commercialised fungicides. Growers can independently and safely nano encapsulate the fungicides with basic mixing equipment and a simple, one-step mixing process. This technology is patent-pending and ready to market. Imparts phloem mobility to fungicides  Enables fungicides to effectively reach roots from the application site Sustains a residual effect for up to 12 months per treatment Encapsulation material is naturally derived and biodegradable Works with commercialised fungicides such as Hexaconazole 75% WG, Dimethomorph 80% WG and Tricyclazole 75% WDG Simple, one-step mixing process can be handled independently by growers Proven effective in treating root rot disease in oil palms  Helps growers cut losses by 75% The technology can be easily scaled to treat other phloem restricted diseases such as Citrus Greening and address problem statements such as weeds and nutrient deficiencies in food crops. Climate change that results in extreme weather conditions such as heat waves and floods exacerbates the spread and intensity of root rot diseases in food crops. At this time, there is also no known or effective treatment for such devastating diseases. The combined global economic losses from root rot diseases in oil palms, bananas, and citrus alone are more than US$ 5 billion per year. Treats root rot diseases that are currently without solution Works with commercialised fungicides Reduces reapplication frequencies hence labour requirements Accelerates ESG compliance through reduced usage of fungicides Increases growers' climate change resilience Patent pending Ready to market agriculture, agritech, agrifood tech, agrifoodtech, food security, nanotechnology, nano, nano materials, nano encapsulation, agrochemical, crop care, crop protection, herbicide, fertiliser, fertilizer, pesticide, fungicide, root rot, phytophthora, basal stem rot, fusarium wilt, panama, huanglongbing, hlb, citrus greening, delivery technology, precision delivery, delivery, encapsulation, oil palm, HLB, nano delivery, ganoderma, adjuvant, nano particles Materials, Nano Materials, Chemicals, Agrochemicals, Life Sciences, Agriculture & Aquaculture, Additives, Sustainability, Food Security

Developed a cutting-edge IoT-based Irrigation System, uses proprietary algorithms and a suite of integrated hardware to intelligently optimize watering schedules based on various inputs like soil moisture levels, raining status, weather forecasts, plant species, and soil moisture needs. This smart irrigation system has been built to address the common issue of water waste and poor irrigation management in agriculture, horticulture, and landscaping sectors. Potential users for this technology are large-scale farmers, landscapers, gardening centres, municipalities managing public parks, and property management company seeking smart community solutions. This innovation aims to revolutionize irrigation management by providing an efficient, data-driven irrigation system that not only optimizes watering for different plant species but also significantly reduces water consumption and system maintenance needs. The system is composed of an array of IoT devices such as soil moisture sensors, rain sensors, water valves, and a cloud-based intelligent algorithm platform. It leverages the LoRaWAN wireless communication technology for reliable, long-range data transfer. Current State-of-the-Art solution is timer based, watering at fixed schedule, this leads to water wastage when watering continues even if the plant is hydrated. The unique multiple input-based (Eg. Soil moisture level, weather condition etc) intelligent algorithm developed is the core technology that facilitates optimal watering, to water only when the plant is in need of water. This can reduce the water consumption significantly. This system can be monitored and controlled via a user-friendly web portal, making remote management of irrigation systems possible. Additionally, the system only needs to carry out minimal number of devices/installation. The ideal collaboration partners would be IoT device manufacturers, cloud service providers, agritech companies, landscape companies and property developers. This IoT-based Irrigation System finds its use in several industries like agriculture, horticulture, landscaping, and smart community management. The technology can be deployed in large farms, public parks, golf courses, residential gardens, and greenhouses. The system forms the basis for smart products like automated sprinkler systems, drip irrigation systems, and advanced home gardening solutions. The global smart irrigation market is huge, driven by the rising need for efficient watering systems and growing concerns about water conservation. This technology, with its intelligent algorithm for optimal watering and water-saving capacity, has great potential to capture a significant share of this fast-developing market. This IoT-based Irrigation System stands apart from the current "State-of-the-Art" due to its unique, multiple input-based intelligent algorithm, enabling optimal watering based on various critical parameters, unlike traditional systems. It seamlessly integrates with LoRaWAN technology for efficient long-range communication. Its value proposition lies in its ability to significantly reduce water consumption due to minimal watering while keeping the plant healthy, installation cost and maintenance needs due to the minimal number of devices/installation required, making it a cost-effective, environment-friendly, and efficient solution in the area of irrigation management. Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Wireless Technology, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

In precision manufacturing, the ability to maintain optimum efficiency and accuracy is of critical importance. This AI Platform addresses these challenges by utilizing proprietary self-improving AI models for Automatic Defect Classification (ADC). This innovative solution incorporates AI Equipment Automation and Root Cause Mapping and provides a comprehensive system that significantly enhances production efficiency. The system seamlessly integrates Equipment Risk Analysis into existing alert mechanisms thus reducing downtime and increasing yield. At its core, it operates as a robust AI platform, featuring a user-centric interface for Machine Learning Operations (MLOps). This promotes recipe-free inspection while maintaining compatibility with a broad range of third-party software. The technology is modular and provides smooth productization of multiple AI solutions thereby increasing the effectiveness of defect inspection and analysis, assisting in equipment error recovery, and providing insights for process optimization. The technology offers an attractive solution for manufacturers across different industries interested in increasing their production efficiency and improving product quality. The technology features AI at its core to provide multiple AI tools in a modularized form for different inspection, maintenance, and process control related tasks common in precision manufacturing industry: High precision recipe-free AI based visual defect inspection and classification. Root cause mapping for indicating errors in upstream process. Non-intrusive equipment run status monitoring and error assist using learned behaviour from UI messages and operator interventions. Equipment health monitoring and logging. Equipment insight generation for process optimization and recipe refinement. Checklist based assistance and tracking for preventive maintenance and assists. Predictive maintenance capability. Ideal collaboration partners span semiconductor manufacturers, pharmaceutical firms and other precision manufacturing industries, hardware manufacturers for the production and upgrades of the vision systems, and research institutions focusing on AI. This technology has applications  in the manufacturing operations for the following industries: MedTech Pharmaceuticals Semiconductor Electronics Automotive Precision Engineering Aerospace With the projected growth and with production schedules becoming increasingly demanding, the ability to harness the power of artificial intelligence for predictive maintenance, process optimization, and quality control is a game-changer. These tools not only enhance the overall productivity but also enable companies to maintain a competitive edge in an ever-evolving landscape.  This technology is particularly attractive to these markets due to its ability to drastically reduce scrap rates and improve OEE (Overall Equipment Efficiency), thereby leading to significant cost savings. The growing trend of automation and AI adoption in manufacturing presents a substantial market opportunity for this technology.  The unique value proposition of the AI platform lies in its increased precision, flexibility, scalability, and seamless integration into existing manufacturing ecosystems: The solution does not require a complete overhaul of the existing setup. The solution includes a full toolset for autonomous operations - standalone AI assisted inspection, preventive maintenance, modules for reducing machine downtimes and manual assists (OEE). All actions taken are fully tracked for unique insights, root cause analysis, assisted recipe creation and process optimization. Flexible and capable of integrating techniques, like hyperspectral imaging, for insights into material properties among others. Modular and capable of adapting to various operational needs spanning different industries. Cost effective and easy integration to existing manufacturing lines. Manufacturing, Assembly, Automation & Robotics