TECH OFFERS

Many existing smart city solutions only show the impact of urban development, but few show the impact that urbanisation imposes on daily activities and long-term outcomes such as population obesity and job availability/accessibility. In short, such solutions show the activities e.g. large crowds are visiting the neighbourhood park, that are happening in real-time (what), the location (where), and the time that they occur (when), but do not have the ability to include data that makes it possible to explain the reason for such activities (why). In order to bring about any intervention or identify missed opportunities, understanding the reason behind such activity is vital. This technology utilises data on city infrastructure systems to help users understand how and where the built environment creates a set of physical constraints that influence what planned and unplanned activities are possible, and in turn how this influences long term outcomes including health and climate change. This technology imports, translates and combines datasets into spatialised models which are used to generate analytics outputs. These outputs include a comprehensive explanation of the way streets, pedestrian networks, public transport and land use interact with each other. In this manner, socio-economic and/or demographic datasets can be linked, enabling people and places to be combined in a single analytical model.

Globally, food security presents a perennial problem - one that can be addressed by improving crop yields. Yet in recent years, improvements to crop yield have plateaued and this is primarily attributable to plant diseases. Plant disease remains a challenge to detect simply because most inspections are done by the human eye - at the point of detection, plants are already in advanced stages of the disease, and even the most experienced food producers can often miss subtle, early-stage signs of plant infection. This technology offer is an automated imaging system combining cameras and three-dimensional (3D) multispectral imaging techniques that are far more sensitive than the human eye, enabling laboratory-level analysis of plant health in the field. The technique works because of the way light is reflected under different wavelengths of light; providing plant health information such as nutrients and diseases at a cellular scale. Unique identifiers of specific plant diseases, as well as plant stress factors, are identified by machine vision before they are even detectable by the human eye. Such early identification of plant health issues is crucial to enable corrective action to be taken at the optimum time.

The current growth media used for cultured meat and biomedical research involves the use of animal-derived ingredients such as Fetal Bovine Serum (FBS). FBS is the liquid fraction harvested from the blood of cow fetuses which largely contributes to the high cost, ethical concerns and food safety aspects in the cultivated meal industry. Other commercial serum ingredients used to support cell growth are equally expensive and tend to have poor batch-to-batch consistency. Serum-free replacements that are alternative to FBS are expensive and they do not perform similarly across the range of different animal cell lines. This technology consists of a serum-free growth media produced under food-safe ISO22000 standards. This serum-free growth media is formulated to allow proliferation of muscle, fat and connective tissue consistently and efficiently, hence eliminating the need of multiple serum-free growth media for different cell types. Food-grade and animal component-free cell adhesion solution has been developed to complement and boost cell attachment and proliferation. It is more cost-efficient than commercially available serum-free replacements. Media development companies, companies and research institutes growing human cells for biomedicine purposes or animal cells for cellular agriculture could benefit from this technology. The company is looking for R&D collaboration with industrial partners who are keen to adopt the solution.

This technology offer presents a platform that harvests data from a variety of sources, including Internet of Things (IoT) occupancy and air quality sensors. Data is aggregated and interpreted using the proprietary AI-driven algorithms to provide insights to help building owners and managers foster a safe and healthy indoor environment, save energy and optimise their workplaces occupancy.

This technology offer is a smart sensor that can detect liquid or non-liquid substances (presence and the levels of liquids within a container or vessel by using a combination of capacitive and resistive sensing. These sticker-like and tape-like printed sensors can be installed on the targeted area and allow the user to detect leaks before they can cause damage. The smart sensors can be customised based on the client’s requirements.

Conventional diagnostic imaging of the skin involves the use of dermatoscopes. Dermatoscopes use skin surface microscopy to examine dermal and sub-dermal tissues to diagnose skin problems. However, these devices can be costly and provide a limited view of the immediate skin surface. This limitation meant that dermatoscopes have to be used in direct contact with the patient's skin. Because of this, they can only be used to image patients in the same physical location as the clinician conducting the examination. The overall result is that only a tiny portion of the global dermatology patient-base can be reached cost-effectively and efficiently. Telemedicine and telehealth network operations are rapidly developing ways to address patients broadly and at lower costs for them and their care providers. Yet, such tools neither deliver desmatoscope-like functionality nor improved it in way that it allows patients' skins to be examined and analysed during an online medical consultation with a general practitioner. In order to facilitate remote skin disease diagnosis, the use of software is required to acquire and share images in real-time and ideally, by the patients themselves. This software enables patients to take their medical sub-skin images with their mobile, tablet or laptop cameras, and securely share it with doctors. Crucially, dermatoscopy images can also be used with the technology to improve diagnostic accuracy. This technology is intended to position itself as a technology which when scaled-up, could allow for products that can enable optical biopsy and phototherapy.