How digital video changes the world? Read about the latest trends, popular video processing tools, programming languages using for video editing etc.
Experience using OpenCV allows an individual developing an application to incorporate the features and algorithms provided by OpenCV. OpenCV is an open-source library of such features and algorithms that enable computer systems to interpret visual information such as images and video, and process it into usable information.
The use of OpenCV can benefit any business requiring automation of intelligent image and video processing; by use of this software development time can be reduced and focused on the differentiating aspects of the application being developed rather than standard routines. It is a specialized skill that needs to be accompanied by an advanced understanding of programming and benefits from experience developing artificial intelligence.Contratar a OpenCV Developers
The purpose of this project is to develop a series of systems or models to control the traffic flow during rush hours. The automated traffic system will detect the vehicles and estimate their intensity of moving, from that estimation system will propose a new and better route with time evaluation
Hello. I need a project in Python, I can use OpenCV but I need to highlight the personal contribution and I need to detect horizon line from a photo of type fish eye like this photos.
Cross platform (Windows over rtsp protol, android, iOS, MacOs) Full functional face recognition/face match/ face serach by image and other functions to be included.
Automated detection of potential risk situations ( human in the vicinity of Robot ) based on distance measurements (eg . through capacitive sensors in the robot arm or use of camera data). Deriving intelligent decisions eg.. in the form of a multi-level safety concept.
We are looking to build a facial recognition shared library. The core library must be written in C++ due to future testing requirements. There will end up being multiple stages for ongoing work. Stage 1 - Proof of concept - OpenCV utilizing pre-trained DNN models that are available - Load image by filename and detect face - Write binary face template to disc with 128D vectors, write template data (i.e. eye location, UUID) - Finalize gallery by concatenating enrolled templates and merging template data into a manifest - Search gallery with probe image - Generate candidate list from search sorted by Euclidian distance [0-1] and match w/ manifest data - Build C++ shared library so tests can be called via command line and through another test application Environment Requirements - Library mu...