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Code With C > Projects > VB & VB.NET Projects > How to Develop Face Identification Project for Crime Inspection
VB & VB.NET Projects

How to Develop Face Identification Project for Crime Inspection

CWC
Last updated: 2022/07/02 at 6:56 PM
CWC
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How to Develop Face Identification Project for Crime Inspection
How to Develop Face Identification Project for Crime Inspection
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The Role of Digital Technology in Crime Investigation

Contents
How to develop face identification project for crime inspection?Face Identification Project for Crime Inspection1. Introduction2. Requirements Analysis3. Data Preprocessing4. Feature Extraction5. Feature Matching6. Deep Learning7. Classification8. Training9. Test10. Results11. Discussion

Face Identification Project for Crime Inspection. Digital technology is one of the biggest breakthroughs in the field of crime detection and investigation. A crime scene can be photographed, video recorded, and analyzed by a team of professionals. Digital cameras and smartphones have become the key to crime investigation. Digital technology is helping us in solving crimes with great ease.

Digital cameras are not just used in criminal investigations, but they are also widely used in many other fields. People use it to capture photos, and videos, and make other digital recordings of their everyday life.

It is very important to keep our digital devices safe, but it is also important to share data to investigators for further analysis. The police department is the first to access the digital data of the suspect and try to make sense of the evidence available.

Police departments can also search for relevant information by accessing data stored in the cloud. When a person uploads his/her data in the cloud, it is shared to other users.

In today’s world, it is possible to hack into someone’s email account without their consent. Many people are unaware of this fact. They can open an email address and send a threatening message to the person.

The best way to keep your digital device safe is to keep it in a locked environment. You can lock it in a safe place or use a security device.

If you want to avoid any kind of danger while working with digital devices, it is advisable to invest in a good quality digital camera. If you are looking for the best digital camera, then you can buy it online.

How to Develop Face Identification Project for Crime Inspection
How to Develop Face Identification Project for Crime Inspection

How to develop face identification project for crime inspection?

  1. First, there must be the project objective, so that it is clear and specific. Then, it is better to have the project plan, which includes the purpose, scope, task and process, etc. After that, it is better to make a list of the items that should be considered, such as the development tools, database, platform, etc.
  2. Next, based on the objectives of the project, and after considering the needs and the demands of the project, we should determine the requirements of the project, and then draw the architecture diagram for the project.
  3. In addition, we should think about the security of the project and the information that we need, and we should build the data processing model.
  4. We should set up a system to meet the requirements of the project, and we should set up the data input and output.
  5. Finally, we should test the system to ensure the reliability of the project.

In order to develop the project, we should consider the project objective, the purpose, the scope, the task and the process, the database, the platform, the security and the information, the data input and output, the testing and the system. We need to consider the technical requirements of the project.

  1. Objective: To develop a face identification project for crime inspection.
  2. Purpose: To provide face identification information for law enforcement agencies.
  3. Scope: To develop the face recognition software and the related technologies.
  4. Task: To develop the face identification algorithm based on the database.
  5. Process: To develop the face identification software based on the database and the related technologies.
  6. Database: To develop the database.
  7. Platform: To develop the database software.
  8. Security: To implement the security measures in the project.
  9. Information: To design the information system.
  10. Data input: To design the face identification interface.
  11. Data output: To design the face identification results.
  12. Testing: To test the face identification software.
  13. System: To build the face identification system.
  14. Technical requirements: To develop the face identification system.

I have developed a face identification project for Face Identification Project for Crime Inspection. Here you can download the whole project.

Face Identification Project for Crime Inspection

How to develop face identification project for crime inspection

1. Introduction

In this case, we are going to develop a face identification project for police, and this project is based on image recognition, image retrieval and deep learning.

2. Requirements Analysis

Face detection:

Face Detection is an important step to identify the location of faces in images. And then it can be used to find the corresponding face images of the same person in the image. This project is a face detection project, it can detect the position of the face in the image, and then find the corresponding face images in the database.

  • Face recognition: For the face recognition part, we need to compare the face images of the same person, so we need to calculate the similarity of the two face images.
  • Face identification: For the face identification, we need to find the face image of the same person in the database, and then get the identity of the person.

3. Data Preprocessing

For data processing, we use python to do the data preprocessing.

4. Feature Extraction

The first step is to extract the features of the face images, so we can extract the feature of the face images through the feature extraction part.

5. Feature Matching

After the feature extraction part, we can get the features of the face images, so we need to calculate the similarity of the two face images.

6. Deep Learning

After feature matching, we can use deep learning to get the results of the face recognition, which is called as deep learning part.

7. Classification

In the classification part, we need to classify the data in the database according to the different categories.

8. Training

For training, we can use TensorFlow to train the model, and the result will be saved in the database.

9. Test

The test part is the final step of the project, we need to check whether the data in the database have been classified correctly.

10. Results

We have developed the face identification project for police, this project has been used to find the criminal in the picture.

11. Discussion

The image recognition project has been widely used in the face recognition, the project is mainly used to identify the location of the faces, and then the faces of the same person in the same image are compared, and the face with the highest similarity is chosen.

The face recognition project is mainly used to find the similarity of the faces of the same person, and then the faces of the same person are compared, and the face with the highest similarity is chosen.

The face identification project is used to find the face image of the same person in the database, and then get the identity of the person.

The image recognition project has been widely used in the face recognition, the project is mainly used to identify the location of the faces, and then the faces of the same person in the same image are compared, and the face with the highest similarity is chosen.

The face recognition project is mainly used to find the similarity of the faces of the same person, and then the faces of the same person are compared, and the face with the highest similarity is chosen. The face identification project is used to find the face image of the same person in the database, and then get the identity of the person.

Conclusions

In this case, we use VB.NET to do the data preprocessing. We can use TensorFlow to train the model, and the results will be saved in the database. We also use the image recognition project to find the criminal in the picture.

How to Develop Face Identification Project for Crime Inspection in VB.NET with Source Code, Database, Project Report, and Documentation

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