☁️Digital Twin for AI Face Recognition Predict Criminals on Huawei Cloud
Introduction
China is constructing an advanced technological authoritarian future with billions of lines of code and millions of cameras. Beijing is tracking and identifying 1.4 billion individuals by using technology like artificial intelligence and face recognition. With vital assistance from its booming IT industry, it hopes to put together an expansive and unprecedented national surveillance infrastructure.
This medium article shows the way of the steps of the all system.
What does the Digital Twin mean?
A digital twin is a digital representation of a physical object, person, or process, contextualized in a digital version of its environment. Digital twins can help an organization simulate real situations and their outcomes, ultimately allowing it to make better decisions.
One great example of a product twin is something you probably already have in your pocket: Google Maps is a digital twin of the Earth’s surface. It links real-time data on traffic to help optimize your commute.
Digital Twin examples are below:
How can we use AI Face Recognition for Predict on Digital Twin and what is the solution on Huawei Cloud?
There are numerous benefits that organizations can leverage after shifting to smart campus solutions. On the high level, some of the applications are explained in the following architecture diagram:
We just take the face recognition side to our specific solution.
So that recognition hardware and software looks like below.
1- AI codes create the Face Recognition System
2- Face Recognition Systems predicted the criminals
3- Digital twins help to use real data about a real-life object or system as input. Then, based on these inputs, it produces predictions or simulations of how the real object or system will react.
4- Huawei Cloud infrastructure and cloud services help to migrate and provide use all over the world
Is there any service from Huawei?
Yes, It has. FRS (Face Recognition Service) on Huawei Cloud will be a possible solution to this problem. FRS provides the following features all via REST APIs, which could be integrated into customers’ systems, such as identification system, entrance control, security checks, facial check-in systems, etc.
- Face Detection
- Face Verification
- Face Retrieval
- Face Live Detection
Besides REST APIs, users could also use FRS SDKs provided by Huawei Cloud in different programming
languages, which are wrappers of the REST APIs to simplify the integration with FRS.
- Java
- Python
- C#
- Go
Tools to play around with FRS:
- API Explorer
- CLI
- Postman
- Curl
- Jupyter Notebooks (Used in this demo)
- Face Detection
This API is used to detect, locate, and analyze the face in an input image, and output the key facial points and attributes. Possible usage scenarios include intrusion detection where identification isn’t required and used together with Face Retrieval, i.e. in building entry control, the face is detected first from the video stream and then sent to Face Retrieval for authentication.
Conclusion
This article shows the basic concept of the architecture for the Digital Twin for AI Face Recognition Predict Criminals on Huawei Cloud and FRS basis.
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