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A plan for auto detection of Covid-19 suspected people Using Thermal Imaging

In many countries and regions government authorities, private organizations have restrictions on their mass movement and have implemented some strict guidelines on the requirement of basic hygiene to reduce the spread of the COVID-19 virus. WHO and other government healthcare authorities have published key symptoms associated with the disease. One of the key symptoms is an increased body temperature. Some activities and approaches are being applied to help reduce the spread of COVID-19. These include self-isolation methods such as working from home, improved basic hygiene such as increased hand washing, and the deployment of personal protective equipment (PPE) to reduce the prospect of infection. Similarly, when symptoms appear there is clear guidance on what to do next. Primarily this involves limiting social contact through self-isolation for up to 14 days. Medical professionals should be contacted digitally if symptoms persist or deteriorate. Ultimately, before any vaccine is available, the fight against COVID-19 is being led by the ability to detect symptoms and isolate people suspected of infection. This is a combined effort between different key workers and technology applications.


Proposed System:

Thermal Imaging: According to Black Body Radiation Law infrared radiation is emitted by all objects with a temperature above absolute zero. This radiation is directly related to the temperature. When viewed through a thermal imaging camera, warm objects stand out well against cooler background.

Using this thermal imaging camera we can measure human body temperature.


Facial Recognition: A facial Recognition System that uses different machine learning algorithm to identify a person from digital image or a video frame. It has seen wider uses on mobile phone platform and other technology such as robotics and IoT.



IoT: The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.



The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to enabling the Internet of Things. In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the "smart home", covering devices and appliances (such as lighting fixtures, thermostats, home security systems and cameras, and other home appliances) that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers.




Physical access control is prevalent in most office buildings and transportation infrastructure. While the solution is primarily to prevent unauthorized access, but if we combine these technology to develop a system that can measure body temperature as well as identify the person, there is potential to integrate this system with these control gates. The organization can temporary block the particular person to enter in the particular premises and send a notification to others to maintain an isolation from that person till medical checkup.




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