RECOMMENDATION DignoscoAI
This is dedicated to the KING of Kings and the LORD of Lords.
@WhiteHouse
@JapanGov
@JPN_PMO
@trpresidency
@OPRArgentina
@SlovakiaMFA
@PresidencyZA
@FBI
@electmonitorng
@AbiodunAAjijola
Written by Abiodun Mohammed Adeyemi Ajijola
RECOMMENDATION
DignoscoAI
DignoscoAI is technology that discerns whether the people in a video are real people or people generated through Artifical Intelligence. This is very important because there are videos that appear so real that people cannot naturally distinguish whether artifical intelligence has been used.
Me who write this physically have had experience with a lot of physique heat from hundreds and then thousands of spiritual and or psychological attacks for several years. In addition, me who write this physically have been a victim of heat wave torture consistently scores of times since year 2024 and even up till this week of Christmas 2025. What this has made me understand more is body heat.
When thinking of how to solve the challenge of distinguishing real people from AI-generated people in videos me who write this physically thought of body heat and thermal imaging.
This is delineated below.
Sensing body heat from video records requires specialized equipment known as thermal imaging cameras (also called infrared cameras). Standard cameras capture visible light, while thermal cameras detect and record the invisible infrared radiation (heat) that all objects and people emit.
Here is how the process works and what is needed:
How Thermal Imaging Works
Infrared Detection: Every object with a temperature above absolute zero emits infrared radiation (heat).
Conversion to Signal: The thermal camera's lens focuses this infrared energy onto a sensor array (detector chip).
Image Creation: Thousands of sensors convert the energy readings into an electrical signal. Software then processes this data to create a "thermal profile" or heat map, where different colors (e.g., blue for cool, red/yellow for warm) represent different temperatures.
Video Recording: The camera can record a continuous stream of these thermal images, creating a video record of heat distribution and changes over time.
Therefore, this technology, DignoscoAI can provide heat sensing for the people in videos which should have different values for real people in the videos than when the people in the videos are Artificial Intelligence generated.
DignoscoAI would most likely have a hardware component and a software component. For mobile phones, the hardware could be developed and become a standard component in mobile telephony and computing technology. With this, the users only need to get a downloadable mobile application. It should be possible to develop a physical technological device that can connect to a phone and or a laptop to perform this function for older mobile phones and computers or mobile devices which don't have the hardware built in from production.
Whether built-in or stand alone, this technology needs to be affordable and not fundamentally change the cost of acquiring a mobile device. This technology could eventually be standardised to the extent that it becomes standard procedure to have this capability built into mobile telephony and computing as well as other devices such as televisions.
In this manner viewers will always know when they are watching AI-generated videos or live streams.
A complementary option is to develop a branding campaign where there is some form of logo or badge digitally showing on videos and or streaming platforms put up which says that Artificial Intelligence is not used in the video or live-streaming. This could also be done conversely to show that Artificial Intelligence is used in the video. This branding is like rating movies with PG, 16, 18 or other ratings. It lets people know something about the type of movie. This branding also helps to achieve this by letting people know whether or not Artifical Intelligence has been used in a film or video as well as where AI has been used in a video or livestreaming event. This could be developed into a universal standard so that it provides a quality and marketing advantage if utilised. It is my opinion that this should not be imposed but should prevail by superior quality experience. If people pay for a video service, they might be more satisfied if they know whether it is real people or AI-generated people. This affects how people psychologically appreciate the viewing experience and the credibility they apportion to it.
For a more effective approach, technology would be able to ascertain heat signatures of people and if feasible, for specific people. This would help increase the accuracy of distinguishing specific people in videos from AI-generated videos of those same people not just a broad categorisation of humans, objects, pictures, for instance.
Thermal imaging cannot be applied to existing visible-light photographs to extract actual temperature data, because regular cameras capture visible light, not the infrared radiation (heat) that thermal cameras detect. However, specialised software can overlay or fuse real thermal data with a visible-light picture, and you can apply a "thermal effect" as a visual filter in photo editing software.
This technology will also be able to detect where or when software has been used to overlay or fuse real thermal data which is not the source thermal data of the object or person. This is why heat signatures for specific people are very important.
This function is critical because it helps make a very clear distinction between biological thermal data and fused real thermal data. The distinction is that body or physique heat may not be constant. Therefore, this device is able to detect the changes in body heat at certain time intervals throughout the video or live-streaming.
It would also be important to make it illegal to use a person's heat signature to make an AI video.
It is unlikely that the pattern for physique heat on a particular day would be exactly the same for another day or even at different periods of the same day sucu as morning, afternoon and or night.
Therefore, if the image and or video of the person is used to generate an AI video, the heat path or pattern cannot most likely be the same. Therefore, if the heat pattern or path data is taken and used, it will show that it is data from another source and therefore distinguish it as not the real thermal data, making it feasible to additionally distinguish.
This is recommended to:
The United States of America with capital in Washington D.C., North America.
Japan with its capital in Tokyo on the Continent of Asia.
Argentina with its capital in Buenos Aires, on the Continent of South America.
The Republic of Türkiye with its capital in Ankara, West Asia.
The Republic of South Africa.
Slovakia with its capital in Bratislava on the Continent of Europe.
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