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INSPEM - Blockchain Who Can Recognize Faces and Objects Using Mobile Phones and Static Cameras

INSPEM - The INSPEM service was introduced in 2015; this allows users to find other people they encounter randomly on the subway, in parks or at other locations. We assume that such services will primarily be used by male audiences. However, as statistics show, women make up 40% of all announcements. The women just take photos of people they love on the road from a distance, upload the photos to our service and wait for some acquaintances to recognize the man and share his social networking profile.

This is exactly the first version of the product several years ago. At the moment the foundations of our service want to be sort of analogue from the TV show "Wait for me", but as an online service.

For your information: «Wait for me» is a Russian TV show that helps find more than 200,000 people since it first aired in 1999. New requests to find people from all corners of the Earth are accepted every 10 minutes. More than 3 million missing people are in the event database. There are only two countries, where «Wait me» have not searched people, and they are Antigua and Barbuda and Cape Verde.

By 2016 already, we decided to change course. Our desire to reach the multibillion market and become a more technologically advanced company, using artificial intelligence and able to apply video analytics based on neural network learning for facial recognition - has shaped a new vision of the INSPEM platform.

Big Data's work and advanced video analysis allow us not only to fulfill individual personal requests to complete everyday tasks, but also to use our resources to accomplish more noble and important tasks. These tasks include the provision of city security, direct involvement in criminal searches, saving the lives of people on the streets, becoming a more effective way of searching for missing persons. Working closely with the world's IT giant we will be able to form

On a worldwide scale, processing of large video streams requires enormous capacity and resources. Our platforms are compatible with "smart" cameras that already perform major video processing and provide a ready-made face image, which will significantly reduce network load. However, not everyone has a camera like that. That is why we will use the miner's capacity as the most effective and rational means for video analysis based on neural networks.

Schematic representation of interaction process:

Additional features of the service to request videos with the right time and coordinates. Real-time video analysis is not required in the case. Camera owners decide for themselves whether they should share it for profit or not. Such specific examples will be explained later in the text.

Roadmap