‘snap’ application is a virtual inspection platform with our capture-locked image technology to help individuals and enterprises inspect captured images to ensure that there is no manipulation of images’ metadata during the process of inspection.
'snap’ helps solve this problem for both individuals and enterprises from being exposed to fraudulent information. Without an offline inspection, ‘snap’ also helps save a huge amount of operation cost and processing time.
Users take relevant images through ‘snap’ application. Once captured, ‘snap’ will extract EXIF data from the image (i.e. identity), then analyse and verify the metadata for authenticity using our unique AI and machine learning technology.
‘snap’ will then analyze the capture-locked image metadata (e.g. brightness level, azimute, altitude, cloud condition, final latitude/ longitude, light shading, weather, camera spec, etc.) to see whether there are any correlations among the data. For instance, it is possible that users could take pictures at noon and claim the accident just before the sunset which in turn could change the story of the case. The mathematical calculations from the metadata could yield a result which would be plotted in the reliability index. If the result is below 80, then the captured image is deemed ‘not reliable’ as a sample. If the result is 80 and over, the metadata will then be encrypted, hashed and stored on ECHO, powered by SIX Network.
'snap’ helps solve this problem for both individuals and enterprises from being exposed to fraudulent information. Without an offline inspection, ‘snap’ also helps save a huge amount of operation cost and processing time.
Users take relevant images through ‘snap’ application. Once captured, ‘snap’ will extract EXIF data from the image (i.e. identity), then analyse and verify the metadata for authenticity using our unique AI and machine learning technology.
‘snap’ will then analyze the capture-locked image metadata (e.g. brightness level, azimute, altitude, cloud condition, final latitude/ longitude, light shading, weather, camera spec, etc.) to see whether there are any correlations among the data. For instance, it is possible that users could take pictures at noon and claim the accident just before the sunset which in turn could change the story of the case. The mathematical calculations from the metadata could yield a result which would be plotted in the reliability index. If the result is below 80, then the captured image is deemed ‘not reliable’ as a sample. If the result is 80 and over, the metadata will then be encrypted, hashed and stored on ECHO, powered by SIX Network.
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