Video Object Detection Tool Development

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@mohjib092

Hi there, have read the project description i am python hub so i have one question , What’s the typical video length and resolution you’ll be processing daily? Let me know via chat box , i able to finish quick fast clean with documentation

@phpxpert89

Hello , I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on Python, Software Architecture, Machine Learning (ML), MySQL, OpenCV, Computer Vision, YOLO We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@amirrmusavifr

Hi, I’m an AI expert with professional experience in computer vision, with a proven track record of working on complex image processing and AI/ML model development. With skill sets: • Algorithm Development: Strong understanding of computer vision algorithms and techniques, including convolutional neural networks (CNNs), object detection, image segmentation and feature extraction. • Model Training & fine-tuning: Develop and train machine learning models tailored for image analysis and visual data interpretation. I have worked on some well-known models like YOLO, RCNN, U-Net, Deeplab, ViT etc. • AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. • Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. • Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. • Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. • Programming Skills: Proficient in programming languages such as Python. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. • Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git.

@MQamar123

With a wealth of knowledge in Python and MySQL, I am confident that I have the right skillset for your Video Object Detection project. Over my 7 years of experience in software development, I've had the pleasure of working on various computer vision and database-driven projects, honing both my technical abilities and problem-solving skills. In terms of computer vision specifically, I'm well-versed in libraries such as OpenCV and models like YOLO and TensorFlow—perficient tasks to create a video object detection tool that aligns with your requirements. Your requirements are comprehensive, but rest assured, I thrive on detail-oriented projects. As a result, you can count on me to deliver requisite tasks—an all-inclusive, well-documented Python 3 script for video analysis and database management via MySQL, a lightweight viewer for frame-by-frame confirmation, an accessible schema for the SQL database alongside data injection capabilities. Furthermore, I'll provide an informative README file to ensure easy retraining with additional object classes.

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. With 10+ years of experience in mobile and web app development, focusing on Python-based solutions, I have the perfect skill set for creating your Video Object Detection Tool. I will implement a clean architecture using OpenCV and YOLO for detecting Trees, Roads, and Infrastructure, ensuring the tool can be easily expanded for more object classes in the future. My approach includes developing a self-contained Python script for detection, database insertion to MySQL, and a simple frame viewer for visual confirmation of detection accuracy. I’ll also provide the SQL schema and a brief README for environment setup and class additions. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify your timeline for project completion and any specific machine learning models you prefer? Let’s discuss over chat! Regards, Arpit Jaiswal

@Ussama91

I propose developing a Python-based tool to scan video files, detect objects such as Trees, Road, and Infrastructure, and store relevant frames in a MySQL database. I'll utilize OpenCV, YOLO, or TensorFlow for frame extraction and object detection, ensuring clean and well-commented code for easy retraining with additional classes. The deliverables will include a self-contained Python script, SQL schema, sample data script, and a brief README for smooth environment setup. I'll adapt to the proposed budget and provide past work examples on similar computer-vision and database-driven projects for review. Waiting for your response in chat! Best Regards.

@Web1devloper

With over 8 years of experience in data analytics, I have successfully transformed complex datasets into actionable insights for various industries including finance, healthcare, e-commerce, and SaaS. Building an object detection tool that seamlessly integrates with MySQL aligns perfectly with my skillset and I am confident in my ability to deliver exactly what you need. Extensive experience in Python paired with my background in Machine Learning equips me adequately to tackle your project. I've worked with TensorFlow for deep learning purposes before, and while I haven't used YOLO specifically, my adaptability and fast learning ensures that I can grasp any modern model required. Importantly, I understand the importance of a clean, well-commented code that's easy to work with—a proficiency you can expect from me. Beyond just the programming part, I also bring solid knowledge in SQL databases like MySQL which is essential for this task. In previous projects, I've built robust and scalable systems using MySQL and Python scripts, skills that will enable me to not only build the tool itself but also provide you with a comprehensive documentation as per your request. Ultimately, engaging my services promises a smooth hand-off and guarantees a solution tailor-made for your unique needs

@lalitdeveloper7

Hi I can build a clean, modular Python tool that processes video files, detects objects such as Trees, Road, and Infrastructure using a modern model (e.g., YOLO), stores relevant frames with detection metadata in MySQL, and provides a lightweight OpenCV-based viewer to step through frames with bounding box overlays. The deliverable will include well-commented code, SQL schema, setup instructions, and a structure that allows easy retraining and addition of new object classes. Please let me know further. Thanks

@kend27

Hi, I can build a clean, extensible Python 3 solution that: • Scans video with OpenCV • Detects objects (Trees, Road, Infrastructure, expandable to new classes) using YOLO (Ultralytics) or TensorFlow • Saves each relevant frame directly to MySQL (image BLOB or file path) • Links frame number + timestamp + bounding boxes + confidence scores as structured metadata • Provides a lightweight OpenCV viewer to step through stored frames with detection overlays Deliverables will include: • Modular, well-commented Python package (detection + DB layer + playback tool) • MySQL schema + sample seed script • README with setup steps (venv, dependencies, model weights location) and clear instructions for retraining / adding new classes Architecture will be clean and scalable (separate detection engine, DB service layer, and visualization module), so adding new object classes or swapping models later is straightforward. I’ve built similar CV pipelines involving frame extraction, object detection, metadata indexing, and database-backed analysis systems, including retrainable YOLO workflows and OpenCV review tools. Happy to discuss dataset size, performance expectations, and deployment environment.

@paruls154

Hi With over a decade of experience in full-stack development, I am confident that I possess the necessary skill-set to execute your video object detection tool project. My expertise in Python, MySQL, and JavaScript will undoubtedly bring immense value to your chosen project. Specifically, my proficiency in MySQL will greatly aid the task of storing image data, frame numbers and its associated detection metadata for future querying and analysis. My commitment to transparent collaboration has earned me a reputation as a reliable partner who keeps clients updated at every step. Allow me to bring your vision into fruition by leveraging my skills and experience in a meaningful way! Regards Parul Saini

@burzhuy

Being an experienced software architect and developer for over two decades, I can bring several valuable skills to the table for your Video Object Detection Tool Development project. First and foremost, my proficiency with MySQL and Python is ideal for efficiently extracting and storing relevant frames into a database, as you require. Additionally, as I've successfully completed numerous computer-vision and database-driven projects in the past, I hold a solid understanding of the intricacies involved in these domains. Moreover, I'm comfortable working with open-source libraries such as OpenCV, TensorFlow, and YOLO – all of which would be invaluable for your desired video object detection processes. Rest assured, my code is always clean, well-commented, and highly maintainable even after project completion. This coding style would greatly assist you in retraining the model with additional classes in the future. To make your hand-off smooth and seamless, I will deliver a self-contained Python 3 script/module set that perfectly aligns with your requirements. Additionally, I'll provide an exemplary SQL schema/sample data script along with a detailed README that offers comprehensive insights into environment setup, model weights location measures to include new classes.

@EngrHamza3409

With my multi-faceted skills in full-stack development, data analysis, and proficiency in Python, I feel more than capable of undertaking and excelling at your project. Over my three years of experience, I've constructed and optimized numerous business intelligence pipelines, utilized data analysis to deliver crucial insights, and created robust databases using SQL. This not only involved precisely-preparing and managing the data but also designing reliable, user-friendly tools to access and analyze that data-- quite similar to what you're looking for in your project. Working with databases like MySQL is second nature to me. I am adept at creating complex database schemas, designing efficient queries, and ensuring seamless data transactions- all vital aspects of your project. Moreover, my competence spans not just the back-end but also extends to clean front-end interfaces including lightweight viewers that display overlays- a feature you require as well. Apart from these core skills which make me an excellent match for your project’s technical demands, my strong communication capabilities enable me to work collaboratively and effectively with clients. Architects undergo detailed training; they are taught to deconstruct a problem into its simplest terms before designing the best solution. That's exactly how I would approach our conversations wherein we align our understanding of the project until a cohesive implementation strategy is devised.

@mike3608

Hello! I understand you need a Python tool for scanning video files to detect objects, save tagged frames to MySQL, and review them with a viewer. I have extensive experience with Python, OpenCV, TensorFlow/YOLO for object detection, and MySQL integration. I've successfully developed similar vision-based applications, ensuring clean, well-documented code for easy retraining. I'm excited to develop your scalable, efficient tool, and I'm confident in delivering the complete, easy-to-use system that meets all your specifications. Thank you for considering my bid.

@Hemantt841

With 7 years of experience in computer vision projects, I am the best fit to complete this Video Object Detection Tool Development project. I have the relevant skills to deliver a Python-based tool that can scan video files, detect various objects, and save relevant frames into a MySQL database. How I will complete this project: - Develop a Python 3 script for object detection and frame insertion into MySQL. - Implement a lightweight viewer to visually confirm accuracy of detections. - Provide a clean and well-commented code using OpenCV, YOLO, or TensorFlow for object detection. - Include a SQL schema and sample data script for database setup. - Write a brief README for environment setup and adding new classes to the model. Tech stack I will use: - Python 3 for scripting - OpenCV for frame extraction and display - MySQL for database storage - YOLO or TensorFlow for object detection I have worked on similar computer vision and database-driven projects in the past, showcasing my expertise in this domain. My experience and skills make me the perfect candidate to deliver a high-quality solution for this requirement. Let's discuss further to bring this project to fruition.

@growwithgdp

✅ Build Python 3 tool using YOLO (PyTorch) + OpenCV to detect Trees, Road, Infrastructure (extensible classes). ✅ Extract frames, store images + metadata (frame number, bbox, confidence) in MySQL. ✅ Provide SQL schema + sample seed script. ✅ Lightweight OpenCV viewer with bounding-box overlay playback. ✅ Clean, modular, retrain-ready code + setup README.

@iamfreelancer79

Hello, I can build a clean, modular Python 3 solution using YOLO (Ultralytics) + OpenCV for detection and frame extraction, with structured MySQL storage linking images, frame numbers, and metadata. The system will include a lightweight OpenCV viewer with bounding box overlays, full SQL schema, sample data, and a clear README for setup and retraining. I’ve previously developed object-detection pipelines with database integration for analytics workflows and scalable CV systems. Let’s discuss your dataset and performance requirements.

@sandipm1307

My ML and Python skills along with my robust experience in automation engineering puts me in a unique position to offer an exceptional solution to your video object detection tool development project. Over the years, I have successfully integrated Python with various systems, including PLCs, HMIs, and SCADA using protocols such as Modbus TCP/RTU, OPC UA, Ethernet/IP, and MQTT. This has equipped me with solid knowledge on data collection, storage, and management—an essential requirement for your tool. What sets me apart is my ability to deliver highly reliable and well-documented solutions. As evidenced by my past projects, I always pay meticulous attention to detail to ensure clean codes that are easily understood even by non-programmers like yourself. I assure you that your tool will not only be powerful but also simple for you to retrain with additional classes independently by following the intuitive README that I will provide. In conclusion, my aim is not only to meet your expectations but also exceed them. I envision providing you with a self-contained Python 3 script for video object detection that performs efficiently and effectively. Additionally, I'll create a lightweight viewer enabling you to visually confirm the accuracy of detected objects overtime.

@ivank141

Every detected object will become a structured, queryable record — not just an annotated frame. The pipeline will process video frame-by-frame using OpenCV, run YOLOv8 (custom-class ready), and store only frames containing target classes (Trees, Road, Infrastructure) into MySQL with full relational mapping. Processing Flow 1. Decode video → sequential frame index tracking. 2. Run detection with configurable confidence threshold. 3. If target class exists: - Save frame (compressed JPEG/WebP). - Insert DB record with: - video_id - frame_number - timestamp_ms - class_name - confidence - bbox (x,y,w,h as JSON) Database Design - videos (metadata) - frames (frame reference + binary/path) - detections (normalized per-object rows) This avoids duplication and supports future multi-class expansion cleanly. Viewer - Pull frames ordered by frame_number - Overlay bounding boxes from DB metadata - Keyboard step-through (← →) - Optional filter by class before playback Extensibility - Class list externalized in config - Model weights swappable - Retraining follows standard YOLO dataset format Deliverables: • Modular Python 3 codebase • SQL schema + seed script • README covering environment, weights, retraining steps This will be clean, testable, and built for growth beyond the initial three classes.