Opencv Projects

opportunity

Developer needed for privacy-focused CV prototype

Need a computer vision developer (Python, OpenCV, MediaPipe, or similar) • Build a lightweight real-time vision pipeline • Detect faces from a webcam or phone camera • Detect a visible marker (printed symbol or pattern) in the scene • Apply conditional image filtering (blur/mask) when marker is present • Focus is on proof-of-feasibility, not a commercial product • No facial recognition, identity tracking, or databases involved • Concept is patent pending, full details shared after initial discussion

opportunity

Fix Table Mapping (Coordinates) for OCR Tool – ClubGG Poker

We are seeking an experienced developer to enhance our existing Optical Character Recognition (OCR) tool by refining the table mapping file to accurately align with the ClubGG poker client. The project entails adjusting the coordinate mappings for essential elements such as cards, stacks, player names, and actions, ensuring precision across various tables and screen resolutions. The ideal candidate will possess expertise in OCR technologies like OpenCV or Tesseract, and familiarity with poker layouts is highly preferred. Timely and precise delivery of a thoroughly tested and verified mapping file is essential for this project. The budget is flexible based on the candidate's expertise and efficiency.

Fix Table Mapping (Coordinates) for OCR Tool – ClubGG Poker

Description: I already have a working OCR tool. I just need an experienced developer to fix or update the table mapping file so that all coordinates match correctly with the ClubGG poker client. Tasks: • Adjust coordinate mapping for cards, stacks, player names, and actions • Ensure accurate detection across multiple tables and screen resolutions • Test and verify correct data extraction Requirements: • Experience with OCR tools and table mapping (OpenCV, Tesseract, or similar) • Familiarity with poker layouts (ClubGG preferred) • Fast and precise work — must deliver tested and verified coordinates Goal: A clean, fully functional mapping file that ensures all table elements are correctly read by the OCR system. Budget: Flexible depending on speed and experience.

opportunity

AR Smart Glasses MVP Development - AI Object Recognition

AI/ML Developer Needed - AR Smart Glasses MVP (3 Week Sprint) Project: Create compelling MVP for AI-powered AR smart glasses platform What I Need: Rapid prototyping of core AI object recognition system Demo-ready application showcasing tool/equipment identification AR overlay integration for visual guidance and instructions Real-time performance suitable for trade/industrial environments Key Features to Build: Basic computer vision model for common tools/parts recognition Simple AR overlay system showing contextual information Proof-of-concept integration with AR glasses (XREAL One Pro or similar) Clean, demonstrable user interface Technical Requirements: Strong computer vision background (OpenCV, YOLO, etc.) AR development experience (Unity/ARCore/ARKit) Rapid MVP development skills Portfolio showing quick-turnaround projects Timeline: 3 weeks maximum Deliverables: Working MVP application Basic documentation Demo video showcasing core functionality Source code with clear structure Perfect for: Experienced freelancers who excel at rapid prototyping Developers with proven track record of quick, quality deliveries Someone excited about AR/AI innovation in industrial sectors This is an invention/startup project - looking for someone who can move fast and deliver a compelling proof-of-concept that demonstrates the platform's potential.

opportunity

Custom IG Bot: Scraping, Age Check, DM Chatbot, Booking

We are seeking a developer or small team to build a fully automated lead generation system for Instagram. The system will identify users based on video content and profile data, engage them with human-style comments and replies, qualify them in Instagram DMs, and direct suitable leads to book a consultation via a calendar link. This project requires experience with automation, browser scripting, GPT-based NLP, and API integration. The automation will replace a manual outreach process and must perform reliably at scale. Scope of Work: The full pipeline includes the following phases: 1. Lead Discovery Search Instagram using specific hashtags Scrape video posts, including: post ID, username, caption, and video URL Tools: Puppeteer, Apify, PhantomBuster, or Instagram Graph API (if accessible) 2. Age Estimation Extract 3–4 frames from each video Run age detection on the frames to exclude users under a defined threshold Tools: OpenCV, Face++, DeepFace, AWS Rekognition 3. Profile Analysis & Suitability Scoring Scrape profile bio and recent post captions Use NLP to detect intent, keywords, and language Score suitability based on rule-based logic Tools: GPT-4 API or similar, browser scraping 4. Comment Posting Post a personalised comment using one of 5–10 prewritten variations Include user’s name if detectable Tools: Meta Graph API or Puppeteer 5. Threaded Replies Monitor for replies to the initial comment Generate contextual responses and post them as replies (not new comments) Tools: GPT-4, Puppeteer, Meta API if possible 6. Off-Platform Interest Signal (Optional) Visit a link shared by the user (e.g. portfolio, profile) Interact with the content and reference it in comments or DMs Tools: Puppeteer or relevant external API 7. Instagram DM Chatbot Respond to inbound DMs Ask 2–3 pre-defined qualifying questions Use GPT or structured logic to respond dynamically Share booking link when user is warm Tools: GPT-4, ManyChat, MobileMonkey, or custom DM handler 8. Booking & CRM Integration Detect when user books a consultation via a calendar link (e.g. Calendly) Push contact info into CRM End automation for that user Tools: Calendly API, Zapier or Make.com, CRM integration (HubSpot or similar) Requirements: All engagement must feel natural and human Comment replies must be posted in-thread Duplicate contact with the same user must be avoided AI logic must be configurable and editable Logs or dashboard to monitor activity is a bonus Deliverables: Functional automation system across all 8 phases Script library for comments and messages Age verification module NLP-based profile analysis and scoring Booking link automation and CRM handoff Full technical documentation Optional: lightweight dashboard for monitoring Timeline: We are aiming for a working MVP within 4–6 weeks. Phased delivery is acceptable. To Apply: Please include: A short overview of your relevant experience Proposed tech stack and approach Estimated time and cost Any questions or clarifications We’re open to experienced individuals or teams. Preference will be given to those with demonstrable experience in automation, AI, and Instagram workflows.

Full-Stack Developer for AI-Powered File Conversion Web App

Description: I am looking for a skilled developer to build a web-based image tool that uses AI to remove backgrounds and allows users to convert image formats (like JPG to PNG, WebP, etc.). I already have the HTML front-end designed — your role is to integrate it with a backend that includes AI-powered features. Core Features Needed: AI background remover (using rembg or similar deep learning tools) Image format converter (e.g., JPG ↔ PNG) Upload and download functionality Clean, responsive user interface (connect to my existing HTML) Preferred Tech Stack: Backend: Python (FastAPI or Flask) AI Tools: rembg or other AI-based background removal models Image Libraries: Pillow, OpenCV (if needed) Hosting Knowledge: Deployable on Render, Railway, or VPS Bonus (Optional): User login + file history Ability to add watermark or compress image Chat assistant for basic support (OpenAI API) Requirements: Experience working with AI image tools Ability to integrate AI with a user-friendly frontend Fast delivery and budget-friendly rates Budget: Small/startup budget (please quote your best price) Timeline: 1–2 weeks max Deliverables: Full working project with source co

opportunityurgent

Urgent Development Support Needed for High-Quality App Launch

We are The SoCiety, entering a critical migration phase for our innovative app, transitioning from React Native (ejected Expo) to a robust and dynamic technology stack built on Flutter, Firebase Authentication, Node.js/Express.js, and MongoDB. The platform utilizes WebRTC integration with Unity, alongside RunPod and AWS for backend operations. Quality is non-negotiable. If you're unable to guarantee exceptional results should not apply. Comprehensive Project Scope: Platform Migration: Complete the seamless migration from React Native (ejected Expo) to Flutter, ensuring full feature parity, performance optimization, and enhanced user experience. Backend Hardening: Enhance backend infrastructure with rigorous security protocols, scalability solutions, and reliability measures. Robust QR Scanner: Develop and integrate a powerful and accurate QR scanning solution utilizing OpenCV, optimized for diverse operational scenarios. MVP Completion: Finalize all essential MVP features, ensuring readiness for comprehensive user and market testing. OpenCV Engineering: Expert-level OpenCV integration to guarantee rapid, precise, and reliable scanning functionality. Admin Panel (Organizer and Venue): Design and build a comprehensive administrative interface for organizers and venue operators, including intuitive UI, secure authentication, robust user management, and operational oversight. Superadmin Panel (Internal Operations): Implement an extensive management console for internal administrative and operational management, featuring detailed analytics, user and content moderation capabilities, and critical system control. WebRTC Integration: Optimize WebRTC implementation, ensuring seamless Unity interactions, real-time communications, and superior streaming quality. Cloud and Infrastructure Management: Efficient utilization and optimization of AWS and RunPod resources for high availability, scalability, and performance. Timeline: The entire platform must be fully ready for rigorous testing by next Friday, aligning with critical internal milestones. Collaboration Approach: Active integration with our existing internal development team, functioning as a cohesive extension for accelerated delivery. Real-time collaboration and issue resolution through Discord. All UI/UX designs are fully completed and accessible via Figma. Comprehensive technical documentation outlining current progress, detailed architecture, and data flows is readily available. Additional Requirements: Mandatory signing of an NDA before gaining access to complete project documentation and details. We require Digital Operatives who embody precision, adaptability, proactive problem-solving, foresight, and a relentless pursuit of quality. Please urgently respond with your availability, relevant expertise, and a clear plan detailing how your team can efficiently support our ambitious goals and timeline. We eagerly await your prompt reply and look forward to a productive partnership!

Python OpenCV for Road Panorama Creation

I'm looking for a Python expert with OpenCV skills to stitch road images together into panoramas. Key Requirements: - Image stitching experience using OpenCV with Python - Familiarity with handling and processing road photos - Capable of stitching more than 6 images together into a seamless panorama The primary purpose of this project is to create expansive, detailed panoramas from a series of road images. The ideal candidate will have strong technical skills in Python and OpenCV, with a portfolio demonstrating previous work with image stitching. Experience with road photos will be a significant advantage. The project typically involves stitching together more than 6 images, so an ability to handle large datasets efficiently is crucial.

opportunity

Window Dimensions API OpenCV Python

An API is to be provided that receives an image file of a window section taken for a construction project. The image comes from the camera of a mobile device (smartphone/tablet) and meets the following requirements: The window is photographed straight from the front. The window is rectangular or square. The image is well-lit. A reference object (e.g., a green cube) with known dimensions can be placed in the image. The API detects the object (window or window hole) and generates the outer dimensions. The tolerance should be as low as possible (max 1.0 - 1.5 cm). The API returns a JSON with the following properties: width: Width of the window hole height: Height of the window hole imagepath: Image path to the picture with the frame and dimensions, so that it can be checked if the section was captured correctly Only the API needs to be programmed. The image illustrates Step 2 and Step 3. Ideally, the project will be implemented in Python.

opportunity

Python and Machine Learning - AI-powered floor replacement tool

(UK AND EUROPE BASED ONLY) ** Others will be reported. We’re looking for a Python and Machine Learning expert to build the core visualization engine for an AI-powered floor replacement tool—think along the lines of HomeDesigns.ai Floor Editor or Winstars.ai Flooring Designer. This gig is all about the backend visualization: take an uploaded room image, detect the floor, and swap it with a custom texture, keeping it lean and cost-effective on a server. No fancy frontend—just a simple Python UI for testing. **Here’s what we need: Core Task: Use Python and OpenCV to detect floors and replace them with a custom tiled image we provide. AI Models: Leverage or fine-tune lightweight ML models (e.g., segmentation) for accurate floor detection—good enough to keep things clean and precise. TensorFlow or PyTorch are our go-tos. Server Efficiency: Deploy it on a low-cost server (like a small AWS/GCP instance). We want a solid balance of speed and accuracy without racking up big server bills—efficiency is the name of the game. Simple UI: Build a basic Python UI (e.g., Tkinter or a script) so we can upload an image, select a texture, and tweak it—specifically, resize and rotate the tile/texture to fit the room. Nothing flashy, just functional. Success Looks Like: The final image has no (or barely any) artifacting—clean edges, no weird glitches. The texture’s perspective matches the room realistically, like it belongs there. Plus, we can adjust the tile/texture size and rotation for a perfect fit. **What We’re Looking For: Strong Python and OpenCV skills—floor detection and texture replacement should be second nature to you. Experience with lightweight ML models (e.g., U-Net, MobileNet) that deliver accuracy without eating resources. Know-how to deploy on a server and keep costs low—think CPU-friendly or minimal GPU, maybe some model optimization tricks like quantization. Ability to whip up a simple Python GUI that lets us resize and rotate textures on the fly. A practical approach to hit our success criteria—clean output, realistic perspective, and flexible textures—without overcomplicating things. **Project Scope & Budget: Fixed-price job, aiming for a working prototype in 4 weeks. This is just the visualization engine—no frontend needed. **How to Apply: Examples of Python/OpenCV or ML projects you’ve done (code, demos, or write-ups are awesome). A quick rundown of how you’d tackle this—model ideas, optimization approach, etc. Your availability and rate.

opportunity

Window Dimensions API OpenCV Python

An API is to be provided that receives an image file of a window section taken for a construction project. The image comes from the camera of a mobile device (smartphone/tablet) and meets the following requirements: The window or the window hole (building/construction) is photographed straight from the front. The window is rectangular or square. The image is well-lit. A reference object (e.g., a green cube) with known dimensions can be placed in the image. The API detects the object (window or window hole) and generates the outer dimensions. The tolerance should be as low as possible (max 1.0 cm). The API returns a JSON with the following properties: width: Width of the window hole height: Height of the window hole imagepath: Image path to the picture with the frame and dimensions, so that it can be checked if the section was captured correctly Only the API needs to be programmed. The image illustrates Step 2 and Step 3. - I need the hardware/hosting requirements for the project to run this on the customers environment. - It is possible that a different reference object is used for the project (e.g. square magnetic board or standee). The project should be completed by mid-January 2025.

opportunity

AI Script to Improve Interaction with Security Tests

I need an experienced developer with expertise in Tampermonkey and JavaScript to create a script that enhances interaction with digital security tests (such as user verification tests). The script should leverage AI technologies like image recognition and data analysis to work efficiently and accurately. Required Skills: Proficient in Tampermonkey for creating robust and efficient scripts. Strong experience with JavaScript for scripting and execution. Familiarity with AI libraries like OpenCV, TensorFlow, or PyTorch. Ability to process and analyze images and data. Knowledge of machine learning techniques to improve the script's ability to interact with distorted or altered images/texts. The script should be able to handle tests requiring interaction with distorted or obfuscated images or texts, aiming to improve the effectiveness and speed of the interaction

Fixing Python AI code bugs

I need an AI developer with python programming knowledge to fix my code. I am working on computer vision project and open-cv is not working correctly due to timeout error I am facing each time. Is there someone with good experience in openCV ?

opportunity

Window Dimensions API OpenCV Python

An API is to be provided that receives an image file of a window section taken for a construction project. The image comes from the camera of a mobile device (smartphone/tablet) and meets the following requirements: The window is photographed straight from the front. The window is rectangular or square. The image is well-lit. A reference object (e.g., a green cube) with known dimensions can be placed in the image. The API detects the object (window or window hole) and generates the outer dimensions. The tolerance should be as low as possible (max 1.0 - 1.5 cm). The API returns a JSON with the following properties: width: Width of the window hole height: Height of the window hole imagepath: Image path to the picture with the frame and dimensions, so that it can be checked if the section was captured correctly Only the API needs to be programmed. The image illustrates Step 2 and Step 3. Ideally, the project will be implemented in Python.

Computer Vision / Artificial Intelligence / Machine Learning

We are looking for Senior Computer Vision Engineers for Contractual/Freelancing Roles. The job description and requirements are as following: Key Responsibilities: Algorithm Development: Design, develop, and optimize computer vision algorithms for image processing, object detection, recognition, and segmentation. Model Training: Develop and train machine learning models tailored for image analysis and visual data interpretation. 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. Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. Required Technical Qualifications: Experience: Minimum of 2 years of professional experience in computer vision, with a proven track record of working on complex image processing and ML projects. Programming Skills: Proficient in programming languages such as Python, C++, and MATLAB. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Algorithm Expertise: Strong understanding of computer vision algorithms and techniques, including but not limited to convolutional neural networks (CNNs), object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. AI/ML Knowledge: In-depth knowledge of machine learning principles and experience with supervised, unsupervised, and reinforcement learning. Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. Performance Tuning: Expertise in optimizing models for deployment in real-time systems and experience with GPU acceleration (e.g., CUDA, TensorRT). Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git. Analytical Skills: Strong analytical and problem-solving skills with the ability to think creatively and develop innovative solutions. Communication: Excellent written and verbal communication skills, with the ability to present complex technical information to non-technical stakeholders.

Android app, OpenCV, Tesseract to scan inventory

Good day sir, I was needing a Android app built that can utilize OpenCV and Google's Tesseract to scan inventory items that come in for our small laboratory. I would like it to be able to identify individual items. Then be able to input how much of said item we received and if the item has a label be able to read the expiration date from said label. Lastly, I would like it to be able to take all this information (description of the item, amount inputted and expiration date) and upload it to a Google sheet.

urgent

Recording soccer game

Objective / Goal We will use a mini computer like the Orange PI 5B (similar to the Raspberry PI) to be able to film the entire soccer field, reaching an angle equal to or greater than 180 degrees. We will join the 3 cameras using Python or any command line or script that the operating system can offer. It will generate 2 final videos: 1-) With the 3 cameras, a video that shows the whole field. 2-) With OpenCV you can track the ball on the field, if you don't detect the ball, keep the current position or try to follow the largest group of people on the field. W x H smaller than video 1 (HD). The final videos will be uploaded to an online server (when you have internet, Wi-Fi connected to the internet). A simple webserver that shows the date and time the video was generated and we can open video 1 or video 2. I already have some commands ready to start the project and the boards for testing, I will be able to carry out the tests. I can send 1 Orange Pi 5b + 3 cameras if needed.

opportunitypre-funded

Custom Image Background Color Selector for New Website

Project Description: We are seeking a skilled web developer to create a new feature for our upcoming website. The website is built on WordPress and uses Zoho CRM. The feature should allow users to upload an image of a graded card, identify the dominant colors in the image, select one of these colors, and apply this color as the background. The updated image should then be downloadable in various sizes suitable for social media posting. This feature is intended to be a key component of our website at launch. Importantly, this feature must be mobile-optimized and function seamlessly across different device types. Key Features: Absolutely, that's a critical requirement for any modern web feature. Here's your updated brief: Project Title: Custom Image Background Color Selector for New Website Project Description: We are seeking a skilled web developer to create a new feature for our upcoming website. The website is built on WordPress and uses Zoho CRM. The feature should allow users to upload an image of a graded card, identify the dominant colors in the image, select one of these colors, and apply this color as the background. The updated image should then be downloadable in various sizes suitable for social media posting. This feature is intended to be a key component of our website at launch. Importantly, this feature must be mobile-optimized and function seamlessly across different device types. Key Features: 1. Image Upload: An interface that allows users to upload their images. 2. Colour Extraction: A system that analyses the uploaded image and identifies the main colours. 3. Colour Display and Selection: An interface that displays these dominant colours to the user for selection. 4. Background Change: Functionality that changes the background colour of the uploaded image based on the user's selection. 5. Image Download: Allow the user to download the updated image. The image should be available in different sizes suitable for social media platforms. Technical Requirements: Experience with WordPress and Zoho CRM integration. Python for backend color extraction (experience with OpenCV and KMeans clustering preferred). JavaScript for frontend color display, background changing, and image downloading. Integration of the Python backend with the JavaScript frontend. Mobile optimization to ensure the feature works seamlessly across various device types and screen sizes. Deliverables: Complete source code for the feature. Documentation explaining how to install, run, and use the feature. Thorough testing of the feature to ensure it functions seamlessly across various devices and screen sizes. Post-production bug fixing and technical support for a period to be negotiated. Timeline: The project should be completed within 2 weeks of commencement. It is critical that this feature is ready for the website's launch. Budget: The budget for this project is £300. Communication: Regular updates via email Application Process: Interested freelancers should provide examples of previous similar work, especially projects involving image processing, WordPress development, Zoho CRM integration, and mobile optimization.