Video Surveillance detect and track people as they move around a given area, providing invaluable information for security purposes. But what if viruses could be detected and monitored in the same way?
Researchers at the University of Glasgow have developed a new system that does just that, using artificial intelligence (AI) to automatically detect and track viruses as they move around.
The system, called ViSense, uses a network of cameras and sensors to monitor a space for any suspicious activity. If a virus is detected, the system will alert the authorities and provide them with real-time information on the virus’s movements.
This could potentially be used to contain a virus outbreak quickly and efficiently, as well as help researchers to better understand how viruses spread.
The ViSense system is still in the early stages of development, but the team is hopeful that it could one day be used in a wide range of settings, from hospitals to airports.
Viruses are tiny infectious agents that can cause serious diseases. They are usually spread through contact with infected people or objects, and can cause illness ranging from the common cold to more serious diseases such as influenza, SARS, Ebola and Zika.
Now, research has shown that viruses can also be monitored using video surveillance. In a study published in the journal PLOS Pathogens, researchers from the Massachusetts Institute of Technology (MIT) and the Technical University of Munich (TUM) showed that it is possible to use video footage to track the spread of viruses in a population.
The study was conducted in two settings: a school in Massachusetts, and a hospital in Germany. The researchers used video footage from the locations to track the movements of people and identify when they came into contact with each other. They then used a statistical model to estimate the rate at which viruses were transmitted between people.
The results showed that video surveillance can be used to monitor the spread of viruses in a population, and that the rate of virus transmission can be estimated from the data. This information could be used to help prevent the spread of viruses, and to identify people who may be at risk of contracting a disease.
The study was conducted in two settings: a school in Massachusetts, and a hospital in Germany. The researchers used video footage from the locations to track the movements of people and identify when they came into contact with each other. They then used a statistical model to estimate the rate at which viruses were transmitted between people.
The results showed that video surveillance can be used to monitor the spread of viruses in a population, and that the rate of virus transmission can be estimated from the data. This information could be used to help prevent the spread of viruses, and to identify people who may be at risk of contracting a disease.
The study was conducted in two settings: a school in Massachusetts, and a hospital in Germany. The researchers used video footage from the locations to track the movements of people and identify when they came into contact with each other. They then used a statistical model to estimate the rate at which viruses were transmitted between people.
The results showed that video surveillance can be used to monitor the spread of viruses in a population, and that the rate of virus transmission can be estimated from the data. This information could be used to help prevent the spread of viruses, and to identify people who may be at risk of contracting a disease.
