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!

From 22,430 reviews, clients rate our OpenCV Developers 4.9 out of 5 stars.
Hire 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!

From 22,430 reviews, clients rate our OpenCV Developers 4.9 out of 5 stars.
Hire OpenCV Developers

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    I need to use FFMPEG to create a motion blur effect that looks like this: My baseline video is here: I need you to use FFMPEG or CV Cuda or opencv to create a motion blur effect that makes the captions look exactly like the example I gave. The core thing I care about is the ffmpeg, cv cuda or opencv command that does this. Please submit your output video and the exact ffmpeg, cv cuda or opencv settings you used to achieve the effect.

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    I am seeking a skilled freelancer to develop an Indian Sign Language (ISL) translation system. The objective of this project is to create a robust machine learning model, preferably a Convolutional Neural Network (CNN), capable of translating ISL gestures and providing real-time inference functionality. Additionally, the project should include a comprehensive report detailing the methodology, model architecture, data processing, and final results. Project Deliverables: Python Code: Complete and well-documented Python code for the ISL translation model as well as for its infernce . Live Inference Capability: A functional setup for real-time inference that demonstrates the model’s capability to translate ISL gestures live. Comprehensive Report: A detailed report including: Problem de...

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    I'm looking for an experienced developer to enhance my existing React Native app with OpenCV capabilities. The goal is to validate the National ID card and perform face verification. Key Responsibilities: - Implement photo verification and movement validation using OpenCV. - Movement validations include head tilts and blinks during the verification process. - Conduct liveliness checks as a part of face validation. Ideal candidates should have: - Proven experience with React Native and OpenCV. - Skills in image processing and computer vision. - A good understanding of facial recognition technology. - Experience in implementing ID verification features in mobile applications. The end product should ensure a robust and reliable verification process.

    ₹3352 Average bid
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    51 bids

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