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Artificial intelligence thermal image processing is combining advance algorithmic technology with machine learning and computer vision for the measurement of infrared wavelengths emitted by 3D object surfaces while also detecting the heat given off an object or a person, and converting the temperature information into an image in the form of heat.
Due to the COVID-19 pandemic, thermal cameras have become a necessity. The innovative fever screening technology ensures public safety by recognizing early signs of illness. The thermal imaging camera is a unit that develops an image using infrared radiation. Rather than using the normal “400-700” nanometer range of the visible light camera, infrared camera is used to capture wavelengths ranging from 1,000nm to 14,000nm.
Thermal cameras can be AI-enhanced, they use machine learning capabilities, database systems, and have auto-calibration abilities. AI thermal camera can scan multiple people, multiple body types at the same time. It comes with an abundance of mounting options. The field of view, the distance to the surface and emissivity are the most important factors to be considered of temperature.
Every object reflects, transmits, and emits energy therefore, only the emitted energy will be able to indicate the temperature of an object. It is necessary to set the cameras to read only the emitted energy. The ability to acknowledge uplifted temperatures gives a chance in decreasing the spread of the disease.
The AI-enabled thermal camera can be integrated with various hardware platforms such as, touch screen panels, pc of different sizes, mobile computers, tablet pc, monitors and more. Due to the development of thermal Artificial intelligence we have discovered a safe, contactless, fast way of detecting temperature.
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