Disorders in the circulatory system may cause various diseases and tissue damage. The early detection of abnormalities in blood circulation has an important role in terms of treatment and also raising awareness of the patient. Vascular imaging methods used by today's technology are invasive, and/ or radiation-based. As an alternative to high-cost near infrared (NIR) vascular imaging devices in the market, a microcomputer-based, real-time, non-contact and safe vascular imaging system has been developed with low- cost. Due to the higher absorption coefficient of blood than skin and fat and also the differences in the spectra of oxy and deoxyhemoglobin in blood, the vascular structures were obtained using light at NIR region. A device, which uses NIR LED light operated at 850 nm, was designed using optical and electronic components. Image and video analysis were performed using OpenCV, which is an open-source software library, and data visualization libraries. Tests were carried out to optimize the best imaging conditions for the device. To be able to show abnormalities in the vascular structures and to test the effectiveness of the device, "diabetes", which can cause various vascular disease complications, was selected. Superficial vascular structures were observed in the near infrared images captured from people at different stages of this disease. As expected, the vessel images captured from the participants revealed deterioration in vascular structures in diabetic patients compared to healthy people. In order to make a clear inference about the accuracy of the images, it is necessary to compare them to the angiography images of the individuals and be interpreted by vascular surgery specialist.