TECH OFFERS

This technology uses Machine Learning and AI algorithms to identify what appliances get plugged in to a building and when they are wasting energy. Plug Power represents 40% of the energy in a commercial building. Half of this energy is wasted with appliances left on when nobody is in the building. When wasted energy is found the plugs automatically switch off the appliances wasting energy and turn them back on before people return to the building. The technology not only saves energy and carbon emissions but makes buildings safer by detecting and preventing unsafe energy loads as well as reporting on occupancy and enabling behavioural change with occupants. The technology provider is seeking collaboration partners among businesses operating commercial buildings that utilize plug sockets — particularly those with multiple locations and high energy-consuming appliances. Potential partners include, but are not limited to, retail chains, F&B chains, the hospitality industry, healthcare facilities, education and training centres, and fitness and wellness chains. The technology consists of cloud-based software and plug socket hardware that combined together provide: Real time monitoring and control of all plug sockets Automated machine learning driven wasted energy elimination Appliance ID: Identification of what appliances are plugged in using only energy consumption Full energy, carbon, safety and occupancy reporting suite Advanced occupancy-based AI features: Away for a Day – Automatically turn off desks when nobody is there Is Active – Keep plug sockets on when somebody is still using their desk after hours In built safety system that turns off faulty appliances and overloaded plug sockets before damage is caused Capability to integrate into BMS and external systems Use existing Wi-Fi connectivity, no need to add extra hubs or connectivity hardware Without connectivity, the plugs function as regular sockets and have onboard memory to store data and on/off schedules The technology is used in a wide variety of commercial building types. It is very effective in buildings were there is a distinct pattern of occupancy and appliances are prone to get left on. For example, in commercial offices there is a wide variety of office equipment plugged in and left on with a regular working pattern. Appliances such as computers, monitors, meeting room TVs, water coolers, plug in AC’s regularly get left on or in standby overnight and at weekends. The technology finds these and automatically turns them off when not needed. The technology is currently deployed at scale in various different building types including commercial offices, construction, healthcare, hospitality, education, manufacturing, laboratories and retail. The UVP for the technology is the machine learning models that allow the identification of different appliances and automatic plug socket control to save energy and emissions. The cloud software and socket firmware allow the system to go far beyond a normal ‘smart socket’ and enable a truly intelligent building that saves energy, reduces safety risk and importantly does not require people to manage. AI, Machine Learning, Plug Power, Energy Mnagement, Building Control, Building Safety, Occupant Management Electronics, Power Management, Green Building, Sensor, Network, Building Control & Optimisation, Sustainability, Sustainable Living

The future of hardware interfaces is being redefined by this patented polymer-based platform technology, which features innovative design interactions, unique technology, lower costs, reduced size and weight, and enhanced sustainability. This patented touch-sensitive technology enables innovative solutions using conductive polymeric materials, interpreting touch location, gestures, and pressure through signal processing and machine learning. This solution simplifies manufacturing, boosts durability and sustainability, and saves clients at least 20% compared to traditional costs. Creating advanced, cost-effective touch interfaces is challenging due to traditional buttons and multiple sensors. The solution simplifies this with a single flexible touch-sensitive material and AI algorithms, which precisely detect touch interactions on large surfaces. This approach offers clients customizable 3D interfaces, reduces component failure, enhances sustainability, and enables easy recycling. Customizable Sensors: Create sensors with industrial-grade plastic materials, giving manufacturers full control over design and styling. Cost Efficiency: Reduce assembly process costs by two-thirds by eliminating the need for printed metallic discrete sensor networks. 3D Seamless Surfaces: Produce waterproof, durable, 3D seamless surfaces that offer more intuitive operation. Versatile Integration: Work with various 'A' surfaces (wood, fabric, stone, glass) using their proprietary polymer-based sensing layer. Current industries: Automotive/Mobility Medical/Sport Consumer Electronics The technology enables applications such as: Making appliances and surfaces smart with appealing finishes Enhancing tactile gaming and VR controllers Creating pressure mapping surfaces and medical devices that monitor user behaviors Developing ergonomic, user-friendly consumer products accessible to the disabled, visually impaired, elderly, and children. Current market solutions, such as printed electronics, mechanical switches, mechatronic switches, and in-mold electronics, have clear limitations that the proposed solution addresses effectively. Core Benefit Areas: Cost reduction on the usual bill of materials Increased design form and interaction options (sensify new shapes) Increased sustainability Waterproofing Durability Reduced device size, weight, and component complexity The proposed solution offers significant improvements over mechatronic switches in several areas: complexity, cost, power consumption, reliability, maintenance, latency, environmental sensitivity, customization, design constraints, compatibility, cost of repair, and noise. Electronics, Sensors & Instrumentation, Infocomm, Augmented Reality, Virtual Reality & Computer-Simulated Environments, Artificial Intelligence, Healthcare, Medical Devices, Robotics & Automation