OpenCV stands for Open Source Computer Vision Library and is a popular programming package made especially for computer vision. It focuses on providing real-time image processing applications and aims to provide a platform and library of useful functions that can be used in real-world applications. This allows developers to develop image processing, object recognition, and several other applications by using the tools and algorithms provided the OpenCV library. An OpenCV Developer is an expert in programming and desktop vision with very strong expertise in writing and understanding algorithms.

Here's some projects that our expert OpenCV Developers made real:

  • Screen record python scripts that can save time by automating tasks.
  • Automated image scanning which can improve accuracy in applications such as healthcare or manufacturing.
  • Optimized video streaming with HVEC/OPENCV encoding, which allows for smoother video without any quality loss.
  • Object detection and tracking from streaming video sources, making automated tracking seamless and accurate in various industries.
  • Autonomous Number Plate Recognition (ANPR) systems for mobile phones, for security purposes or traffic management.
  • Conversion of Models specified to run with OpenCV into lightweight TFlite format which speeds up processing when running on mobile applications.
  • YOLO/PyTorch powered object recognition systems that apply recognition techniques over videos or images.
  • Writing algorithms to detect streetlights and poles, setting the stage for hosting detection scripts that could automate operation processes.
  • Barcode scanning systems powered by YOLO Algorithm, allowing large scale image processing operations to take place over videos or a series of images captured at varying distances.

In summary, OpenCV developers are highly capable professionals that can create real world applications with custom features in a shorter amount of time compared to other development packages due to its robust library of functions focused on image processing tasks for both desktop or mobile application purposes. We invite you to join the millions of clients around the world who hired OpenCV developers to craft beautiful applications on Freelancer.com!

De 22,085 opiniones, los clientes califican nuestro OpenCV Developers 4.8 de un total de 5 estrellas.
Contratar a OpenCV Developers

OpenCV stands for Open Source Computer Vision Library and is a popular programming package made especially for computer vision. It focuses on providing real-time image processing applications and aims to provide a platform and library of useful functions that can be used in real-world applications. This allows developers to develop image processing, object recognition, and several other applications by using the tools and algorithms provided the OpenCV library. An OpenCV Developer is an expert in programming and desktop vision with very strong expertise in writing and understanding algorithms.

Here's some projects that our expert OpenCV Developers made real:

  • Screen record python scripts that can save time by automating tasks.
  • Automated image scanning which can improve accuracy in applications such as healthcare or manufacturing.
  • Optimized video streaming with HVEC/OPENCV encoding, which allows for smoother video without any quality loss.
  • Object detection and tracking from streaming video sources, making automated tracking seamless and accurate in various industries.
  • Autonomous Number Plate Recognition (ANPR) systems for mobile phones, for security purposes or traffic management.
  • Conversion of Models specified to run with OpenCV into lightweight TFlite format which speeds up processing when running on mobile applications.
  • YOLO/PyTorch powered object recognition systems that apply recognition techniques over videos or images.
  • Writing algorithms to detect streetlights and poles, setting the stage for hosting detection scripts that could automate operation processes.
  • Barcode scanning systems powered by YOLO Algorithm, allowing large scale image processing operations to take place over videos or a series of images captured at varying distances.

In summary, OpenCV developers are highly capable professionals that can create real world applications with custom features in a shorter amount of time compared to other development packages due to its robust library of functions focused on image processing tasks for both desktop or mobile application purposes. We invite you to join the millions of clients around the world who hired OpenCV developers to craft beautiful applications on Freelancer.com!

De 22,085 opiniones, los clientes califican nuestro OpenCV Developers 4.8 de un total de 5 estrellas.
Contratar a OpenCV Developers

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    I need an AI video analytics software that specializes in face detection, person detection, and object detection. Key functionalities required: - **Face Detection:** - Identifying individual faces - Counting number of faces - Emotional analysis - **Person Detection** - **Object Detection** Ideal Skills and Experience: - Proficiency in AI and machine learning - Experience with video analytics and computer vision - Strong programming skills (Python, TensorFlow, OpenCV) - Knowledge in emotion recognition technologies Please provide a portfolio showcasing similar projects.

    €247 Average bid
    €247 Oferta promedio
    54 ofertas

    I have already prepared the full CoppeliaSim scene (.ttt) with the mobile platform, vision sensor and the coloured paths laid out. What I still need is the Python side: a clean, well-commented script that connects through the CoppeliaSim remote API, reads the vision stream, identifies the target colours and drives the robot along each line using a PID controller. Primary task The robot’s job is straightforward line following. Because the scene contains several coloured tracks, it must be able to hop from one to another whenever the target colour changes, staying centred on whichever line it is tracking. Colours to detect • red • green

    €46 Average bid
    €46 Oferta promedio
    9 ofertas

    I need a small, accurate program that accepts two medium-resolution JPEG photographs of a finished metal assembly and automatically presents them side-by-side, with every visual difference clearly highlighted on the right-hand image. The purpose is simple: help our fabrication team spot mis-welds, missing brackets, or other subtle manufacturing deviations without having to inspect the parts manually. Here is what matters most to me: 1. The tool must read standard JPEGs shot between 720p and 1080p—you can assume consistent lighting but plenty of reflections and shiny edges typical of stainless steel. 2. Output should be a single composite image (or screen) that shows both originals next to each other; regions that differ are accented visually so a technician can locate them in second...

    €1312 Average bid
    €1312
    161 participaciones

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