The aim of infrared and visible image fusion is to obtain an integrated image that contains obvious object information and high spatial resolution background information. The integrated image is more conducive for a human or a machine to understand and mine the information contained in the image. To
Visual and Infrared Image Fusion For Security and Surveillance Applications
The aim of infrared and visible image fusion is to obtain an integrated image that contains obvious object information and high spatial resolution background information. The integrated image is more conducive for a human or a machine to understand and mine the information contained in the image. To attain this purpose, a fusion algorithm will be proposed.
When imaging the same scene using both infrared (IR) and visible imaging systems (VIS), more information can be obtained, but more redundant information is also generated. The infrared sensor acquires the thermal radiation information of the objects in an image, therefore, the object can also be detected when the lighting conditions are not good. However, the image acquired through the IR sensor has low spectral information (Greyscale images). The images obtained through visible light sensors have more spectral information, clear texture details, and higher spatial resolution. The scene can be described more accurately by integrating the infrared and visible images into one visible-IR fused image. In the fused image, more information of the scene is available as compared to the individual original images. In addition to this, most of the unwanted/redundant information can be removed.
Infrared and visible image fusion techniques are widely applied in video surveillance, object detection, and object tracking applications. In Figure 1 the resultant fused image contains the vital details of both the Visible and IR images.
The project is beneficial for security and surveillance applications. It will be used by law enforcement organizations. It will be useful In bad weather and bad light conditions.

Explanation of Fusion Algorithm.

Block Diagram of VIIF.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Cameras | Equipment | 2 | 5000 | 10000 |
| Arduino | Equipment | 1 | 1500 | 1500 |
| Raspberry PI | Equipment | 1 | 9000 | 9000 |
| Motors | Equipment | 5 | 500 | 2500 |
| Supply | Equipment | 1 | 2000 | 2000 |
| Mechanical Structure | Equipment | 1 | 5000 | 5000 |
| Misc | Miscellaneous | 1 | 5000 | 5000 |
| PCB Printing | Miscellaneous | 1 | 2000 | 2000 |
| Total in (Rs) | 37000 |
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