• Onkar Tukaram Jundare
• Shubhangi Biradar
• Shriram Patil
• Prashant sadaphule
• Kunal Ranveer

In project, the depth sensor of Kinect is an infrared camera, the lighting conditions. Signer’s skin colors and clothing, and background have little impact on the performance of this system. The accuracy and the robustness make this system a versatile best component that can be integrated in a variety of system in a daily life. Gesture recognition using Depth Camera and RGB Camera with Night Vision is investigated for providing accessibility to the computer systems with using Kinect Sensors for gesture control. The motive of this project is to create a more interactive system that could naturally interact with human with using hand gestures. This system is based in creating computer vision at night as well as at day, in this project we are using different method of capturing and processing images, traditional image processing use 2D images for image processing 2D provides pixel value in color bits. We are using 3D images for processing so that the camera output provided in distance that means in pixel provide its value in millimeters for recognizing gestures and further processing done on Raspberry PI.

-2D image, 3D image, IR Laser, Triac, ADC, 3D Image Feature Extraction, Pixel, ZCD

"GESTURE RECOGNITION USING DEPTH AND RGB CAMERA WITH NIGHT VISION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.82-85, April-2019, Available :http://www.jetir.org/papers/JETIR1904G71.pdf

"GESTURE RECOGNITION USING DEPTH AND RGB CAMERA WITH NIGHT VISION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp82-85, April-2019, Available at : http://www.jetir.org/papers/JETIR1904G71.pdf