Video Logo Detection Engine

@AITSoft

Hello, I understand you need a program that takes a logo image and a video file, then finds every appearance of that logo in the video. The code will work without any extra training when a new logo is added and should give clear results with timestamps and positions. I will create a simple command-line tool or minimal API that scans the video frame by frame, detects logos efficiently, and outputs the detections in JSON or CSV format. The code will be easy to follow with comments and setup instructions including a Python environment and Docker support for easy installation. In past projects, I've built object detection systems using methods like ORB, SIFT, and YOLO for fast and accurate matching, so I’m confident I can deliver this quickly and keep you updated through the process. I’m ready to start and share working code soon. What video lengths and resolutions should I expect to handle typically? Are there any specific performance requirements, like max processing time per minute of video? Do you want the timings and bounding boxes to match exact logo appearance or allow some tolerance? Would you prefer a CLI tool only or also a simple API for integration? Is there a preferred format for the output file, JSON or CSV? What video lengths and resolutions should I expect to handle typically? Thanks,

@softsolution2000

SPORTS I understand you need a computer-vision pipeline to detect logos in uploaded videos without the need for additional training. The script will scan each frame, identify logo instances, and output the results in a structured format. I am confident in my Python, Linux, and ML skills to deliver this solution efficiently. The budget can be adjusted after discussing the full scope, and I am committed to working within your budget. Let's discuss the details further. Please review my profile for my extensive experience spanning 15 years. Looking forward to collaborating on this project.

@sajjadtaghvaeifr

SPORTS 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

@quan9824

SPORTS Hello, I completed very similar projects before. https://www.freelancer.com/projects/computer-vision/Logo-Recognition-Analysis/reviews Let's discuss more detail. Thank you.

@avinashdubeyg209

Noticed you're looking to build a video logo detection engine that integrates well with MP4, AVI, or MOV formats. Recently implemented a similar OpenCV solution that processed video frames in real-time, returning precise JSON endpoints. Flawless integration on Ubuntu using Python and CLI. How do you envision balancing detection accuracy with processing speed across varied video formats? Can start prototyping today and share an initial framework. Let me know if you're interested.

@FaizalShaik80

Hi, hope you are well. I went through your project details and found that I worked on almost the exact same task about two months ago. I am an experienced and specialized freelancer with 6+ years of practical experience in Python, Machine Learning (ML), OpenCV and I’m able to complete and deliver this project promptly. You can visit my profile to check my latest work and recent reviews. Connect in chat to discuss details and next steps. Talk soon.

@mugencodes

Hi there, I understand the need for a precise and efficient video logo detection engine that can seamlessly identify and track logos within various video formats. Your vision for the workflow aligns with my expertise in computer vision and machine learning. I propose developing a robust computer-vision pipeline that integrates seamlessly with a simple CLI or API endpoint for easy logo and video input. By analyzing each frame, the system will accurately flag every logo hit and generate a structured JSON or CSV report detailing the timestamp, duration, and bounding-box coordinates for each detection. With my experience in Python, machine learning, and deep learning frameworks like YOLO, I am confident in delivering a solution that requires no additional training for new logo inputs. I have a proven track record in developing similar projects and can ensure well-commented, maintainable code with clear setup instructions for easy replication. Looking forward to collaborating closely with you on this project. Best regards, Jayabrata Bhaduri

@durgesh8527

SPORTS Having 12+ years of experience as a Full Stack Developer, I've built clean, scalable, and high-performance codebases across various projects – just what you need for your video logo detection engine. My expertise in Python and Software Architecture uniquely position me for the task at hand. In the realm of computer vision, I have developed and fine-tuned object matchers and pipelines like ORB/SIFT/SURF, which have outfitted me with in-depth knowledge crucial for delivering such an application. My approach to project development is rooted in quick understanding of requirements, end-to-end handling, fast response time and clear communication with clients. These approaches enable less back-and-forth and ensure that the project's turnaround time is optimized. Furthermore, I bring my skills with REST APIs to the table, which streamlines third-party integrations -a key competency for this project.

@emilesd617

SPORTS Hi, I am a computer vision and full-stack AI developer with 8 years of rich experience with a background in video analysis and detection pipelines. I am familiar with Python, OpenCV, YOLO, object detection, and computer vision. For this project, the most important point is building a logo detection pipeline that works with any new uploaded logo image without extra training. I would solve this by combining frame-by-frame visual matching and detection logic so the system can detect the logo, track its position, and return clean JSON or CSV results with timestamps, duration, and bounding boxes. This is important because the main business goal is to get reliable results fast without retraining every time a new logo is added. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@abdf2010

Hello. I came across your project, Video Logo Detection Engine and it aligns well with my background. I have hands-on experience with Python, Linux, Software Architecture that's directly relevant here. Feel free to reach out if you have questions.

@Hubready

... Hello! I am a Florida-based senior software engineer specializing in AI and computer vision. I carefully read your project description for the Video Logo Detection Engine and I’m excited about the opportunity to create a robust computer-vision pipeline for you. With over 15 years of experience in Python, Machine Learning, and OpenCV, I can deliver a solution that not only meets but exceeds your expectations. To ensure I fully understand the project requirements, could you please clarify the following questions? 1. What specific formats or variations of logos should the engine be able to detect? 2. Are there any preferred performance benchmarks or response time requirements for the logo detection? 3. Would you like to include any additional features, like tracking or analytics on logo usage? My approach will include phases for research, development, and testing to ensure a seamless integration. I build systems that work in the real world, and I’m committed to delivering a solution that is technically sound and practically maintainable. I’m looking forward to discussing this project further and helping you achieve your goals! Best, -James

@Georgeoustar

Hi, SPORTS — I’m experienced in computer vision pipelines and can build a robust logo detection system that works without retraining for each new input. I’ve previously developed a similar solution for brand exposure tracking in videos using feature matching and lightweight detection methods, delivering timestamped detections with bounding boxes and clean export formats. For your case, I would combine OpenCV with feature based methods like ORB or SIFT for fast matching, optionally enhanced with a lightweight detector for better accuracy across scale and rotation. The pipeline will process video frames efficiently, detect logo instances, and output structured JSON or CSV including timestamps, durations, and coordinates. I’ll provide a CLI and optional minimal API, along with clean, well documented Python code, requirements, and Docker setup for easy local execution. Best regards, George

@EhtishamHaider1

SPORTS As a Data Scientist and Electrical Engineer, I have the expertise required for your Video Logo Detection Engine project. My work in the field of image processing and machine learning is directly applicable to this task, and with my knowledge in digital systems and embedded solutions, I can ensure that the solution runs smoothly on various file formats. I am also proficient in Python, which is an ideal tool for this kind of computer vision project. In terms of portfolio, I have extensive experience with object detection, including customized detectors based on YOLO and Faster-RCNN frameworks. I've developed logo finders for various applications before and created pipelines using ORB, SIFT, and SURF as well as other approaches like image hashing or deep learning-based methods like CNN. This lends itself well to my ability to jumpstart your project without needing extra training or fine-tuning each time you want to use a new logo image - saving us time.

@Ahmedn1

SPORTS I am assuming latency is not a concern here. If you want real time video labeling, I would update my solution. Here’s a brief solution proposal for the project. I would build this as a zero-shot logo matching pipeline in Python, designed to work with any newly uploaded logo image without retraining. The core approach would combine classical local-feature matching with modern frame filtering and temporal tracking so it is both flexible and practical for real video. The pipeline would work like this: First, the CLI or lightweight API accepts a logo image and a video path. The video is decoded frame by frame with OpenCV or PyAV. For each frame, the system extracts robust visual features from the uploaded logo and from candidate regions in the frame using a method such as SIFT or ORB. It then performs feature matching plus geometric verification with homography/RANSAC to confirm whether the logo is truly present and to estimate a bounding box. Consecutive frame-level detections are merged into continuous logo “events,” which lets us return clean outputs with start timestamp, duration, and bounding-box coordinates. I can also build a UI for you if you prefer it over CLI

@Vsion2

Greetings! I am ready to start the project immediately and provide high-quality work. I have 8 years of professional experience in video editing and creation, and I have completed 350+ similar projects. You can check an example of one of those projects in my portfolio here: https://www.freelancer.com/u/Vsion2 I'm interested in discussing your project, If you have any questions or special requirements, please don’t hesitate to message me. I'd be pleased to have the chance to assist you further with your project Best Regards Alema Akter

@MIndlabsAi6

Hello, I'm Vishal Maharaj, a Python expert with 20 years of experience in Software Architecture, Computer Vision, OpenCV, and Ubuntu. I have carefully reviewed your requirement for a Video Logo Detection Engine. I propose to develop a robust computer-vision pipeline that efficiently scans each frame of the video to detect and flag every instance of the uploaded logo. The solution will output a structured JSON or CSV file with detailed information on each detection, including timestamps, duration, and bounding-box coordinates. I will ensure that the script accepts logo and video paths through a user-friendly CLI or API endpoint for seamless operation. Additionally, I will provide well-commented, maintainable code with setup instructions for easy replication. Let's discuss further details to initiate the project. Cheers, Vishal Maharaj

@johnhygh

Hi There, I can help you build a fast, frame-by-frame logo detection pipeline that ingests a logo image and a video (MP4/AVI/MOV) and outputs every detection with start time, duration, and bounding boxes in JSON or CSV. It will run efficiently on standard hardware and require no retraining for new logos. I’ve implemented OpenCV-based matching (ORB/SIFT) and lightweight DL hybrids for logo-like patterns, plus end-to-end Python tooling with multiprocessing for frame-skipping and caching. I’ve delivered CLI and minimal API interfaces, Dockerfiles, and clear setup docs for local replication. For your project, I will wire a portable CLI/API, enable frame-by-frame scanning with robust non-maximum suppression, and produce a tidy detections file you can ingest downstream. Could you share a few sample logo images and a short clip to verify performance on your hardware? Best regards, John

@ayesha86664

Hi there! SPORTS You are building a logo detection pipeline without retraining and the real challenge is achieving reliable detection across frames with different scales, lighting, and motion using a single reference image. I recently built an OpenCV based matching pipeline combining feature detection and lightweight deep models, where I tracked objects across video frames and improved detection consistency without retraining models. I will build a Python pipeline using feature matching and optional YOLO fallback, process video frames efficiently, and output structured JSON or CSV with timestamps, duration, and bounding boxes. I will also provide a clean CLI or API, Docker setup, and clear documentation for reproducibility. Check our work: https://www.freelancer.com/u/ayesha86664 Do you expect logos to appear partially occluded or mostly clear and fully visible in frames? I am ready to start — just say the word. Best Regards, Ayesha

@daxm0

Hello, I’ve reviewed your project, Video Logo Detection Engine, and I’m genuinely interested. With my experience, I’m confident I can complete it efficiently and to a high standard. I clearly understand the core requirements of your project. I will approach the work with attention to detail and strong communication. The final delivery will reflect your vision and desired results. With 6 years of experience as a senior software engineer, I’ve worked on a wide range of projects and helped solve many technical challenges. I’m confident I can handle your project and deliver strong results through clear communication and a smooth process. If anything about the requirements isn’t completely clear yet, we can discuss it together and refine the details as we move forward. If you want the best possible outcome, I would be grateful to be considered for this project. I always focus on delivering quality work on time so that the solutions I build help grow your business rather than slow it down. I’d be happy to go over the requirements together to make sure I fully understand the project. After we clarify the details, I can begin immediately and keep communication smooth across time zones. I’d also appreciate it if you could take a moment to review my profile and feedback. I’m confident I can deliver results that exceed your expectations and I’m fully ready to get started. best regards, Dax M