I am Sanjaya Gunasiri, my invention is a liquid atomizer machine that is researched and developed before the COVID 19 pandemic which however this pandemic gave us the idea to use the same machine as a Sanitizer machine that uses lot less liquid than conventional methodologies. Having developed this as a multipurpose machine with the added advantage of using this as a Sanitizer machine this has evolved in to a truly multipurpose machine.
I like to extend my gratitude to the SLIC team for their assistance (sponsorship) in obtaining a benchmark report from ITI that has given me the opportunity broaden the market for this product.
(A Computer vision-based System to Perform Differential Count of White
We are a group of inventors working towards developing a computer vision based system that can be used to replace the expensive hematology analyzers and the inefficient manual counting method to produce WBC differential count reports. Team members are Dr. Nuwan Dayananda, Senior Lecturer, Department of Electronics and Telecommunication Engineering, University of Moratuwa, Prof. Indira Silva, Senior Professor, Faculty of Veterinary Medicine and Animal Science, University of Peradeniya, Iyani N. Kalupahana, Biomedical Engineer, University of Moratuwa, Lokesha R. De Seram, Biomedical Engineer, University of Moratuwa, Dilshan N. Wickramarachchi, Biomedical Engineer, University of Moratuwa and Chinthalanka B. Wijesinghe, Electronic and Telecommunication Engineer, University of Moratuwa.
There are 5 main types of White Blood Cells (WBC) present in the blood and they are Neutrophils, Lymphocytes, Monocytes, Eosinophils, and Basophils. The measure of WBC in the blood is an important indicator of pathological conditions. By determining the differential counts of these WBC, diseases such as microbial infections (virus, bacteria, etc.), leukemia, and other blood related diseases can be diagnosed. In hematology laboratories, manual counting methods and automated analyzer method are used for the differential counting of WBC. The manual counting method is monotonous, laborious and time consuming. Apart from that, static sampling errors and subjective judgment errors also affect the classification accuracy of the manual counting. In automated analyzer methods, the presence of components like nucleated RBC, parasites and platelets lead to misclassifications and affect the WBC count. Furthermore, these devices are expensive and have a higher maintenance cost. Therefore, the CELLBOTIC system is developed to automate the WBC differential count process. CELLBOTIC is a computer vision-based system that can produce WBC differential count reports similar to an expert hematologist. The system consists of a hardware platform that navigates the microscope stage to acquire microscopic images from a blood smear and an algorithm implementation to generate the WBC differential count reports.
We wish to thank the Sri Lanka Inventors Commission (SLIC) for their financial support towards further development of the prototype and guidance in the patent application process. Furthermore, we highly appreciate SLIC’s role in fighting against the COVID-19 virus by supporting technological developments.
Thank you for inviting us to the program,
“Eka Mage Rata” – Inventor-Investor Meetup and giving us the
opportunity to discuss about the future potentials and improvements required to
develop in the invention. We received valuable feedback from the investors
about our invention, “CELLBOTIC – A computer Vision Based System to
Perform the Differential Count of White Blood Cells (WBC)”. Investors
showed us a big picture of the potential market of our invention and they
extended their hands to further develop our invention into a prototype in
agricultural side as well. Moreover, they explained us, how we can help
patients from this invention during COVID-19 pandemic. We could not have done
it without the expert service from Sri Lanka Inventors Commission (SLIC). Your
help has been invaluable, and we cannot imagine how we would have managed it
without your help and support. Again, thank you so much for the great support
We, as a team, would appreciate your continuous assistance, and looking forward to continuing the work together with SLIC.
We A. M. Nilupul Nuwan Senevirathna and W. W. Kanchana Aruna Kumara Perera develop this invention. Our hands must be properly sterilized to protect against coronavirus. Also when using sanitizer bottles containing disinfectant liquid, contact with it can cause the spread of the disease. To solve that problem, we have developed an automated sanitizer. It can also be fitted to many existing sanitizer bottles. It is designed to be small in size, at a very low cost. When we close our hands to this Automatic Hand Sanitizer, it automatically senses our hands. This then it sprays sanitizer liquid into our hands. That way we can sterilize our hands well. It has a fluid volume controller and a fluid frequency controller. Once this device is fully charged, we can get sanitizer liquid many times.
We are an engineering team and involving with this Semi Automated Telepresence Robot for Hospitals project based on the need of health sector during this hard COVID-19 period. Our team members are Sahan C. Ranasinghe / Anuruddha Tennakoon / Buddhika Marasinghe. We extend our gratitude and thank to SLIC for assisting financial support for the development of this invention and apply for the patent within one week.
Our invention is a
semi automated telepresence robot for Indoor transportation for deliver meals,
drugs, and garbage collection and for patient interview in covid-19 wards or
suspect patients’ wards. In addition to that, this is suitable for manufacturing
plants, warehouses. This robot can be used as a remote control or run on
automated guided path. But you can override anytime. It has obstacle detection
sensors, mechanical dampers to avoid collision. Also most importantly it has a
camera and display for Video conferencing facility to communicate with patients.
Health care staff can monitor or interview the patients and get the feedback
about their symptoms immediately with less exposursity of medical staff
to covid-19 patients.
Thank you very
much SLIC team for your assistance and guidance.
We are an engineering team and involving with this open Source ventilator project based on the need of health sector during this hard COVID-19 period. Our team members are Sahan C. Ranasinghe / Kosala Jayasundara / Salinda Tennakoon / Anuruddha Tennakoon / Chathura Yapa Bandara / Thusitha Samarasekara and Buddhika Marasinghe. With the initial prototype, our team contacted SLIC and they assisted us by giving financial support for the development of this Open Source Ventilator and for manufacturing process within one week.
Our invention is to develop a low cost, easy to operate and reliable ventilator based on an open source project. This Open Lung Low Resource Ventilator is a quick-deployment ventilator that utilizes a bag valve mask (BVM), also known as an Ambu-bag, as a core component. Ambu-bags are mass-produced, certified, small, mechanically simple, and adaptable to both invasive tubing and masks. The OPEN LUNG ventilator will use micro-electronics to sense and control air pressure and flow, with the goal to enable semi-autonomous operation.
Benefits of this inventions are low cost in development, mass production due to less complexity, touchpoints use certified components, small and simple mechanical requirements, previous research and testing in this area, adaptable to both invasive tubing and masks and medical practitioners are familiar with the device.
Main features of this inventions are user-specified (breath/min, insp./exp ratio and tidal volume), assist control, positive end-expiratory pressure (peep), maximum pressure limiting, humidity exchange (built into the mask), infection control (by way of covering the unit in an easily cleaned enclosure) and limited dead-space.
Thank you very much SLIC team for your assistance and guidance.