OpenCV Jobs

We are looking to develop a solution capable of accurately detecting differences between two images. Project Description: We have: An original PNG file A scanned version of the same file after it has been printed The goal is to compare these two images and: Detect even the smallest differences Identify print-related defects (shifts, distortions, color variations, etc.) Perform detailed visual error analysis Requirements: High-precision or pixel-level comparison Robust handling of scan noise and imperfections Automatic image alignment (if needed) Output results as highlighted differences and/or a report Preferred Skills & Technologies: Python (OpenCV, Pillow, or similar libraries) Experience in Computer Vision and Image Processing Prior experience with similar projects is a plus...

I have four base product mock-ups that need to be shown in every fabric option we carry—well over a thousand swatches. To avoid doing this manually, I need a script that repeatedly drops each fabric file on top of each base image, exports the composite as a flat JPEG, and then moves on to the next combination. You may use whichever workflow you prefer—Python with Pillow/OpenCV, ImageMagick, a Photoshop JSX, or another proven solution—as long as the result is reliable and fully automated. The script must: • Read a folder containing the four base JPEGs (see reference mock-ups in this Canva board: ). • Iterate through a folder of 1,000+ fabric images. • Overlay each fabric onto each base in the correct position and scale (the overlay location is consiste...

I have collected hundreds of standard photographs of hands in many poses and from many people. Nothing is uniform: skin tones, hand sizes, lighting, backgrounds, and even finger counts may vary. The goal is to turn this dataset into a practical analysis tool that can: • calculate the flexion/extension angle at every finger joint in each image • flag when a finger or phalanx is completely absent so that it can be recorded automatically I expect you will combine classical computer-vision preprocessing with a deep-learning model (PyTorch or TensorFlow are fine) and possibly leverage pose-estimation libraries such as MediaPipe or OpenCV for landmark detection. Accuracy matters more than perfection in lighting or background, so robust data-augmentation and domain-adaptation tech...

I have a growing archive of high-resolution intraoral photos and I need an AI mechanism that can automatically locate every tooth in each image, assign the correct FDI or Universal numbering, and clearly classify each tooth type (incisor, canine, premolar, molar, wisdom). You are free to decide whether a pre-trained or custom-built model is best; accuracy and speed matter more to me than the underlying brand of framework. Python with PyTorch or TensorFlow, OpenCV for preprocessing, and a clean REST or CLI inference interface would suit my workflow, but if you have a more elegant stack, I’m open. Key deliverables • A trained model capable of processing new intraoral 3d scans and returning JSON with tooth positions, numbers and classes. • Lightweight script or API e...

I need a complete, ready-to-run video analytics tool that flags car-collision accidents in city-surveillance footage. The workflow must stay simple for the end user: they upload a clip, hit “Analyze,” and, within seconds, the screen returns something like: Accident Detected: YES Severity: HIGH (low | medium | high) Confidence: 92 % Time-stamp: 00:12 Key points to build in • Scope of detection: only car collisions; no pedestrian or bicycle tracking at this stage. • Source footage: city CCTV style feeds (fixed street-level cameras). • No real-time push notifications are required—the result can appear once processing is finished. I will rely on you to select or curate a robust, publicly available dataset (or a combination of datasets) that...

I’m assembling a practical textbook that teaches drone technologies through hands-on programming with Python. The book should walk readers from fundamental concepts straight into real-time applications, letting them write, test, and fly code as they learn. Core coverage has to include basic Python syntax for newcomers, real-time data processing techniques, and solid drone control algorithms that work on popular flight controllers (PX4, ArduPilot, DJI SDKs, etc.). Example projects—think live telemetry dashboards, autonomous waypoint missions, and computer-vision-assisted flight—should be coded step-by-step so readers can replicate results on their own hardware. Because it’s a learning resource, clear explanations, commented code, troubleshooting tips, and small rev...

I need a rock-solid, real-time player tracking module for football matches that guarantees the ID assigned to each athlete at kick-off never changes until the final whistle. Right now, our OpenCV–TensorFlow–YOLO pipeline sometimes swaps or loses IDs when athletes overlap, leave the frame briefly, or the camera angle shifts, and that ruins every speed, distance, position, and heat-map metric we generate. Key requirements • Sport: football. • Camera setup: five or more synchronized feeds. • Existing stack: OpenCV, TensorFlow, YOLO – your solution must plug into this environment. What I expect 1. A multi-object tracker with integrated re-identification that preserves the same unique ID through occlusion, crossings, short disappearances, or camera changes...

I need a compact, well-structured script that ingests a 2D image and returns a high-quality .glb file in one pass, with no noticeable loss of fidelity. Speed is critical; the final tool should feel almost instantaneous when run on a modern desktop. Because I have no fixed preference for specific libraries, feel free to choose whatever stack best balances performance and quality—OpenCV, TensorFlow, or any other framework you’re confident will get the job done quickly and cleanly. What matters most is that the resulting geometry, textures, and materials in the .glb look crisp and faithful to the source image. Deliverables • Source code with clear inline comments • A straightforward README explaining environment setup, usage, and any dependencies • A sample ...

**Project Title:** Precision Extraction of Black Overprints from High-Resolution Stamp Sheets (Research Project) **Project Description:** I am conducting a specialized philatelic research study on 1931 Zeppelin overprints. I have two full stamp sheets (50 stamps each, high-resolution scans provided as PDF files), and I need the overprint isolated from each individual stamp with maximum fidelity. This is NOT a graphic design or basic background removal job. This is a precision image extraction task for research purposes requiring strict adherence to instructions and preservation of original detail. The source files are high-resolution PDF scans. You must extract images at native resolution (e.g., 1200 dpi). Screenshots, resampling, or any quality loss are not acceptable. If needed, conver...

I'm looking for an experienced programmer to help me set up a Raspberry Pi personal assistant. This project involves coding and configuring the Raspberry Pi, which is equipped with a camera and microphone, similar to Loona the pet robot. Key functionalities include: - Facial Recognition: Identify and recognize individuals. - Object Detection: Recognize and categorize different objects in the environment. Ideal skills and experience: - Proficiency in Python and Raspberry Pi - Experience with OpenCV or similar libraries for facial recognition and object detection - Familiarity with setting up and configuring Raspberry Pi for various projects - Strong problem-solving skills and attention to detail Please provide examples of similar work done and ensure you can meet the requirements.