Opencv Jobs

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Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
Text (Image) Recognition As one part of automatic filling, please develop captha solver(reader) Steps are: 1. Read CAPTHA, 2. Convert it to text 3. Move it the automatic filling system Captha is consist of 6 lower case alphabet and numbers. Speed is the key, these 3 steps must be completed within 5 seconds. Accuracy should be more than 97%. If the functionality of back ground deletion is useful to assure the accuracy, we will develop it separately. One sample captha is attached.
Skills: OpenCV OCR algorithms PHP
Fixed-Price - Expert ($$$) - Est. Budget: $1,500 - Posted
Hi. I need somebody for developing SW for recognizing fallen number on roulette. Simple flowchart is in attached file. Phases of SW: 1) Recognize that ball was thrown 2) Recognize speed of thrown ball 3) When ball is rotating fast display place your bets 4) When ball is rotating slow display close your bets 5) After SW register steps 1-4, start recognizing fallen number 6) Display fallen number with reliability more than 99% (we don’t need recognize text from camera, just color information of green – zero, all other numbers we can calculate) SW must run on Linux. Sample video of rotating is attached. We are using this camera: Logitech Webcam C930e Location of camera according to roulette can change Lighting can be different. GUI specification is attached. I will provide all graphic. No animations are needed (except of gif files) All necessary files are here: www.autosklo.org/attach.zip
Skills: OpenCV C++ OCR algorithms Pattern recognition
Fixed-Price - Expert ($$$) - Est. Budget: $100 - Posted
This job is about desktop application for drawing some simple and basic interactive tools. Such as draw a line in image, plot pixels profile of selected line. Make a histogram of an ROI,…etc. For more information, please contact us. The developer should use Qt5.6/OpenCV3.1/C++/Netbeans 8.1 under windows platform and must provide the source code of the application.
Skills: OpenCV C++ Windows App Development
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Looking for an experianced developer to implement face recognition video surveillance server with accessible GUI, CCTV auto or manual face detection using OpenCV/OpenBR and it's plugins.
Skills: OpenCV C++ Python
Fixed-Price - Intermediate ($$) - Est. Budget: $1,000 - Posted
Looking for an OpenCV developer. The project is to extracting the foreground in a picture. We pass an image like a car in parking and the cript extract the foreground car. the expected result is in the attached file. must be writen in java.
Skills: OpenCV Java
Fixed-Price - Intermediate ($$) - Est. Budget: $10 - Posted
You are building a DoG pyramid. The output of each level of the pyramid is a DoG, which is composed of subtracting one Gaussian filtered image from another. Each of the two input Gaussian images are filtered with different Gaussian Filters, that is, with different sigmas. The DoG output at each level should show stuff at the scale of that level. So at higher resolution, you will see edges and blobs at a fine scale. At the lower resolutions, you will see edges and blobs at a larger scale. What does this mean with respect to edges? Well, it means that edges that are many pixels wide at the high resolution will show up well at the lower resolution. It sometimes turns out that edges will show up at all the levels of the DoG pyramid. To go to the next level of the pyramid, one first starts with the lesser filtered gaussian image at the current level, that is, the one with the smaller sigma. Subsample it down by 2 in each dimension. One can just subsample the pixels directly, as there is no need to filter (i.e. average the pixels in the local area) first, as this has already been done. Then repeat the process at the current level. As so on for the next levels.
Skills: OpenCV C++ Visual Basic
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
Looking for a VERY experienced developer to create a simple application that can analyze a single or series of images and pull out every object in the image and it's location on the image. Including multiple of the same object. Included in the programming would be creating the training sets for objects and a very simple interface. Preferably a run button with a organized output of what was found and where. Must be written in QT for portability.
Skills: OpenCV C++ Qt