Night vision robot

Hi... How are you?. I saw your description carefully your project and i'm very interesting your project. But i have some questions about your project. When you have enough time to discuss about your project with me, please contact me. Thanks time:8/19/2018 1:40:18----39

Hello, there, I am very happy to put my bid on your project. I am an expert of computer vision and senior python developer, so I am interested in and confident to do this project. I hope to discuss everything of the project in detail with you and work on this project with you. Regards.

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I'm computer engineering TA with 10+ years of experience experienced with raspberry pi and openCV , developed mega projects involving image processing and object tracking - object recognition (face detection - background detection using codebook - mixture of Gaussian - statistical background detection) - image restoration and enahncement algorithms, Fourier and cosine transform -image segmentation - construction - object recognition and feature extraction agorithms "harris- cany - SIFT - SURF - RANSAC" experienced with developing python - c code under raspbian running on RPI3 and if you need I can optimize the code speed - size to run under raspberry pi zero using c++ and opencv rather than python and openCV

I have high proficiency in MATLAB & SIMULINK, mathematical modelling and analysis, Mathematics, Python,Algorithm, C programming, Machine learning analysis. Once you share the project, I will have a look & confirm if I can do it. I’m honest, creative and a unique person to carry out your tasks given to me. Leaving your project on our hand is a privileged; we'll make sure that the project is done in a perfect way and do our best until you satisfied. I would love to discuss this project with you and meet your exact requirements. I am confident I can provide you with top notch materials that will fit your needs. I'm proud my work on being professional, of the highest quality and always delivered on time. you can hire me directly through this link https://www.freelancer.com/u/olaideejiwole

Hello, I have done this before during my graduation in second year. I am an Electronics Engineer . Your project needs two geared motors, one rolor ball type castor wheel that will be attached in the front. And, LDRs, and some LEDS to get this done. I had used 555 timer ICS in my time. But, here Rasperri Bi is a good approach too. Let me know if you are interested in working with me . Thanks.

i am electrical engineer i have years of experience over matlab and over python recently i have done project on road lane detection and i can do that work also

m currently working on computer vision to detect human . I have good experience in the field .

STEP 1: THE BITS.   So because the goggles had a RCA input they could be connected to a raspberry pi and if you had a camera in the front you could maybe make a crude set of night vision goggles?? So for this project you need the following:- Raspberry pi model a will do. Quanum googles. NOIR camera. IR light source. Wireless keyboard and mouse. SD card with raspbian operating system. BEC (Battery Elimination Circuit to power the raspberry pi with 5v using a 3 cell lipo) 3 cell lipo. Now I might be a bit of a geek but I happen to have all the items I needed! So this was just for fun and to see if it worked and the whole unit was just taped together so it could be stripped down and the goggles used for their real purpose (FPV) The raspberry pi I have is an original “A” model which I hacked to remove the RCA connector (not for this project) so I then had to solder a RCA lead onto the pads left. The other connections are the BEC wires which were soldered to the GPIO pins Pin 2 (or 4) for positive and pin 6 for negative, See the photos. The camera model was then connected to its connector. At this stage I connected the raspberry pi to a monitor and wireless keyboard/mouse (the Raspberry pi “A” only has one USB connector so the wireless keyboard and mouse work well with just the one USB needed for the receiver) I then checked all bits worked by switching on and opening up the terminal and running raspistill -t 0 This turns on the camera so you get a preview but doesn’t take a picture. STEP 2: THE CONSTRUCTION.   Once I was happy that everything seemed to work I then taped the lot together! (Like I said earlier this project is just for fun and not for keeps) so firstly I taped a piece of balsa wood onto the front of the googles, this gives me a nice flat base for the camera. The camera is taped to the IR light unit using foam tape, this was then stuck on the balsa wood making sure the light sensor (which turns on the IR LED’s) isn’t obscured. Next to be stuck into place was the raspberry pi which was taped underneath the googles and the connector to the camera was pushed home. To take the strain of the cables they were also taped to the side and the BEC taped next to them. And that is basically it the power cable for the googles and the wires for the 12volt feed to the IR LED’s and BEC to Raspberry pi were taped together to keep them neat. STEP 3: LETS TURN THE LIGHTS OUT!  The real test was with the lights out! So carefully I made my way to the light switch and turned then off, as soon as the light detector sees the drop in light levels it turns on the IR LED’s and the picture turns to grey but it is unbelievable! I had to take the googles off to make sure I was in darkness! The picture is brilliant and apart from the grey scale you really can’t tell its dark!! So at this stage I then added an inline DVR recorder so I can make a video for instructables. This video recorder was something I brought for the Multicopters and the resolution is poor so the video is a bit rubbish but hopefully you can get the idea.

I have done multiple projects on computer vision both using Deep Learning and non-Deep Learning techniques. I ported both kinds of models to Raspberry Pi. I went though the doc you shared and I can finish this project if awarded. Please ping me for more details on my past projects and to discuss about the current project.