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 21,606 reviews, clients rate our OpenCV Developers 4.8 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 21,606 reviews, clients rate our OpenCV Developers 4.8 out of 5 stars.
Hire OpenCV Developers

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    I have a growing library of MP4 recordings of casino-grade slot machines and I need a reliable way to turn each session into structured data. For every spin I want the script to capture the start time, end time, bet size, win amount, any bonus triggers, and jackpots, then tally an overall spin count. The videos cover many different games, so the screen layout shifts from title to title; your solution therefore has to locate each region of interest on its own instead of relying on hard-coded coordinates. Because bonuses and jackpots are marked with visually distinct graphics, you can leverage that cue when classifying events. Accuracy matters more than raw speed, but I still expect processing to run unattended once configured. Please build a computer-vision / OCR pipeline that: • Au...

    ₹15286 Average bid
    ₹15286 Avg Bid
    95 bids

    I have a collection of general-purpose images and need a complete Python-based pipeline that extracts meaningful features and classifies each image accurately. The project centres on image feature extraction and subsequent classification, so solid experience with OpenCV, scikit-learn or a deep-learning stack such as TensorFlow or PyTorch is essential. You will begin by deciding on (and justifying) an appropriate feature strategy—traditional descriptors like SIFT/ORB, transfer-learning from a CNN, or another proven method—then train and validate a classifier that reaches reliable accuracy on a held-out test set. Clean, well-commented code and clear, reproducible training steps are critical because I need to retrain the model as new data arrives. Deliverables • Python sour...

    ₹5653 Average bid
    ₹5653 Avg Bid
    32 bids

    **Freelance Computer Vision / 3D Developer Needed — Self-Hosted 3 Photo to Fully Rigged 3D Avatar Prototype** I am looking for an experienced developer to build a **self-hosted prototype** that generates a **fully rigged 3D face/head avatar from 3 photos of a real person**. --- ### Project goal A user uploads: * 1 front face photo * 1 left-side face photo * 1 right-side face photo The system should generate: * a **3D face/head avatar** * high similarity to real person * **fully rigged face for animation** * **lip-sync ready setup** * **eye movement support** * export as **GLB (preferred)** or **FBX** --- ### Animation requirements (important) The avatar must include: * **basic facial rigging or blendshapes** * mouth movement support for speech (lip-sync ready) * eye moveme...

    ₹73087 Average bid
    ₹73087 Avg Bid
    21 bids

    I need a complete face-recognition attendance solution for a school environment that runs natively on Windows and works with ordinary USB webcams mounted at each classroom door. The application should: • Detect and recognise registered students in real time using the live webcam feed, automatically marking them present once a confident match is achieved. • Store enrolment images and student data in a local database, with an easy interface for adding, updating, or removing profiles. • Generate daily and monthly attendance reports (CSV / Excel) that can be filtered by class, date, or individual student. • Provide an admin dashboard protected by login, where teachers can review logs, correct mis-identifications, and export data. I expect at least 95 % recogni...

    ₹860 / hr Average bid
    ₹860 / hr Avg Bid
    32 bids

    I have a fixed-angle camera that watches every truck as it rolls through a single gate into our yard. What I need is a reliable, end-to-end Python pipeline that will: • Detect and track each individual truck in real time with a pre-trained YOLO model, keeping the ID stable from the moment the vehicle enters the frame until it leaves. • Within that per-truck track, run additional YOLO passes (or custom classes) to locate the key regions I care about: license plates, DOT numbers, chassis numbers, container numbers, and container type markings. Accuracy on these regions is critical; false positives must be minimal. • Crop each detected region, perform OCR, and then clean the raw text with solid post-processing logic—regex, checksums, or any heuristic that standardises ...

    ₹45572 Average bid
    ₹45572 Avg Bid
    130 bids

    我准备上线一套面向居家场景的智能监测系统,希望通过视觉与物联网技术,及早发现老人或慢病人群的高危状况并推送告警。 核心需求 1. 高危动作异常 —— 同时精准识别“摔倒”与“跌倒”,第一时间触发报警。 2. 状态失能异常 —— 既要判断“长时间静止不动”,也要捕捉“无自主行为”状态,实现持续跟踪。 3. 出入与行为节律 —— 对家门进出时间、频次和时段进行建模,结合如厕频率、徘徊轨迹、家电使用等行为模式,挖掘偏离日常规律的征兆。 4. 生理体征 —— 基于微动信号提取呼吸、心率等指标,与个人基线比较后给出健康风险提示。 我期望的交付 • 场景与传感器选型报告:摄像头、毫米波雷达、惯性传感器等可行性分析。 • 算法与模型:包含数据清洗、特征工程、深度学习或传统 CV/信号处理方案,需给出训练脚本与推理 API。 • 功能性原型:可在本地或边缘端实时运行,界面展示告警信息,并通过 MQTT/HTTP 推送到后台。 • 技术文档:部署指南、接口说明、测试用例及关键性能指标(例如跌倒检测准确率、误报率等)。 理想人选 熟悉 OpenCV、PyTorch/TensorFlow 或 mmWave SDK,对人体姿态估计、时序异常检测有实战经验;能在 Linux + Docker 环境里快速迭代;对养老、康复或智慧家居项目有交付记录更佳。 请附上相关案例、模型效果或仓库链接,让我能快速评估你的解决思路和交付能力。期待与你合作,把这套居家安全“护身符”尽快落地。

    ₹15191 Average bid
    ₹15191 Avg Bid
    3 bids

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