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toluwani kehinde

toluwani kehinde

Model: RealVisXL V4.0

Prompt:

IDEA An intelligence team working with computers, AI, and trained people on internal state securi...Show more
Width: 1024
Height: 1024
Scale: 7
Steps: 25
Seed: 2034212872
Sampler: DPM++ 2M SDE Karras

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Prompt: IDEA
An intelligence team working with computers, AI, and trained people on internal state security. 

REQUIREMENTS
• City by city central intelligence base, all communicating with the state central, on a private secure network. Can be extended Nationally and internationally. 

• CCTV. Pinhole style cameras? For disguise these could be installed on solar powered street lights. Working with an AI backend system trained to log faces and match/identify from ID/NIN database. Like how self driving cars recognize road signs etc. It identifies people by cross referencing faces against the database. Heat sensors can be included and heat maps can help detect if “face is a mask or not". 

Differnet helpful security Algorithms can be trained. E.g to notice congregational patterns of people, other patterns. 

Notice taken when people/groups that have adopted a patern move out of their regular patterns. 

Strangers and new faces can be identified. Either new to the entire system (like traveller’s) or a locality (somewhere they don’t frequent). 

AI generates reports based off terms of operation (smart contracts with the bots). 

These reports are what it gives intelligence officer with recommended action path. Trained officers can use with human discretion and take a different action path. They can also ignore when to act in not compulsory. 

Officer decisions and reason should be logged to help train the system and help technical support teams design improved and/or new algorithms for increased effectiveness. The CI system in turn would make more accurate and precise recommendations. 

Intelligence officer can also query(request from the) system for specific type of data. Statistical or others. 

Toluwani Toyin-Kehinde.
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