?Human eyes can only detect visible light that occupies a very narrow band (400 - 700nm) of the spectrum. ?However, in other bands of the electromagnetic spectrum there is much more information contained rejected by the objects of interest. ?The visibility under normal visible light
Vein Illuminator
•Human eyes can only detect visible light that occupies a very narrow band (400 - 700nm) of the spectrum.
•However, in other bands of the electromagnetic spectrum there is much more information contained rejected by the objects of interest.
•The visibility under normal visible light conditions is very low for human vein patterns on the periphery.
•Accessing veins in cases of elderly or obese as well as dark toned & adult patients becomes very difficult sometimes for drug delivery physicians.
The stand-alone, portable NIR vein detection system can visualize and detect vessels from anterior forearm. Taking sample images from people of different skin complexities and muscle built, the desired image output can be successfully obtain.As we are making portable IR imaging due to that we can encounter motion artifacts issues. Therefore, our main goal is to make a portable efficient vein imaging system at a very low cost that works on basic principles of NIR.
compete details of step by step process is given below.
•Accessing veins in cases of elderly or obese as well as dark toned & adult patients becomes very difficult sometimes for drug delivery physicians.
•Although significant work has been done in this area and many devices have come up, but the major problem lies in their cost and portability.
•A low cost, portable & efficient infrared imaging detection system is the need of the hour.
•Our aim is to develop a low-cost vein finding system, which uses infrared light to capture the images of the veins, processes (enhances and contrasts) these images.

1.Setting up the Raspberry Pi.
2.Constructing a firm structure/frame for the overall product.
3.Designing an IR Flash with IR LEDs.
4.Image Capturing and scanning with Raspbian Pi NoIR Camera.
5.Image Processing by different techniques.
6.Displaying on the screen.
1) viewing viens of elderly and obese patients
2) avoid the pricking process that is very dangerous
3) higly efficient in locating the veins of infants
4) can view the clots.
5) helpful in injection process.
6) low cost device.
7) easy to operate .
8) No need to import the product after this ,,We can use this device of our medical needs
1) hardware and software based product.
2) low cost product in the market as compared to others.
3) Uses Near Infrared Technique.
4)A completely medical Equipment.
5) easy to use and perfecty efficient.
PROCESS IS AS UNDER:
1.Setting up the Raspberry Pi.
2.Constructing a firm structure/frame for the overall product.
3.Designing an IR Flash with IR LEDs.
4.Image Capturing and scanning with Raspbian Pi NoIR Camera.
5.Image Processing by different techniques.
6.Displaying on the screen.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi 4 | Equipment | 1 | 17550 | 17550 |
| NoIR Camera | Equipment | 2 | 5520 | 11040 |
| Display Screen | Equipment | 1 | 9200 | 9200 |
| IR transmitter | Equipment | 15 | 15 | 225 |
| Laser diode | Equipment | 2 | 225 | 450 |
| Soldering KIT | Equipment | 1 | 2000 | 2000 |
| Vero Boards | Equipment | 3 | 20 | 60 |
| Bred Boards | Equipment | 4 | 120 | 480 |
| Servo Motor & Supporting Rod | Equipment | 1 | 2500 | 2500 |
| Frame for Holding | Equipment | 1 | 3000 | 3000 |
| Misc. items & Batteries | Miscellaneous | 1 | 7000 | 7000 |
| Total in (Rs) | 53505 |
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