OpenCV Jobs

1. CONTEXTO Y DESAFÍO REAL Proyecto del sector de la trefilería y el galvanizado con más de 40 líneas de producción activas. El desafío no es la falta de información, sino que el conocimiento crítico es volátil: reside en la experiencia de supervisores y operarios veteranos y se transmite de forma verbal. Cuando surge una solución técnica en planta, esta no se documenta y se pierde para el siguiente turno. Buscamos desarrollar un ecosistema de IA que no solo responda preguntas, sino que capture, valide, estructure y democratice el conocimiento técnico que surge en el día a día, creando una infraestructura de inteligencia industrial sostenible a largo plazo. 2. LA SOLUCIÓN: "THE ...

I’m building a real-time AR application in Unity that puts user interactions at the center of the experience. The project already has a solid concept, but I now need the scene brought to life with responsive touch/gesture input through AR Foundation and polished 3D assets. Unity 3D (URP) will drive the core app, while MediaPipe or OpenCV will handle hand-tracking and gesture recognition. On the hardware side the code must remain portable to Raspberry Pi OS and Arduino-based prototypes, so a clean Python or Node.js bridge is essential. Here’s what I’d like you to deliver: • A Unity scene that compiles on Android and iOS, wired for AR Foundation with robust user interaction logic (tap, pinch, swipe, custom gestures). • Integration of MediaPipe/OpenCV scripts s...

Computer Vision Prototype Needed — Head Tracking & Auto Zoom (R&D Phase) I’m building a product and am currently in the early R&D phase before final hardware and SDK delivery. We are looking for an experienced computer vision / mobile vision developer to help us prototype and validate: Core Features • Real-time head/face detection • Automatic head tracking (keeping the head centered) • Auto zoom / smart cropping (keeping head size consistent) • Smooth motion and transition logic At this stage, we do not yet have final hardware or SDK access, so we are asking the freelancer to: Phase 1 – Prototype (on your own hardware) • Build a working demo using your own Android device / webcam / test camera • Use open-source tools (MediaPi...

I need an AI-driven workflow that takes raw footage and automatically turns it into polished short-form content ready for TikTok, Reels, and Shorts. The focus is exclusively on clips under a minute; no long-form or course material will be involved. Here’s what I expect the system to do: ingest a batch of source videos, detect the strongest moments, trim away the rest, merge the highlights, and export a seamless final cut. While doing so it should apply modern, clean-looking filters and subtle visual effects—think gentle color grading, light motion graphics, and smooth transitions that feel current rather than retro or flashy. I’m open to the underlying tech stack as long as the result is reproducible. If you prefer Python with OpenCV and FFmpeg, or would rather leve...

I want to build a Windows-only application that watches the live screen, detects people—including stylised in-game characters—in real time, and immediately drives a game controller so the crosshair locks onto and tracks that target as it moves. The workflow I picture is straightforward: the program captures frames, an AI model spots the person, and a virtual stick signal (XInput, vJoy or a comparable driver) nudges the aim every frame so it stays centred. Smoothness and speed are critical. On a 1080p feed I’m aiming for roughly 60 fps with no more than 40–50 ms end-to-end latency, so techniques such as YOLOv8, TensorRT or a lightweight custom network combined with OpenCV screen capture should fit. You’re free to choose Python, C++, or another language as long...

We are building an AI-powered livestream production platform that can fully automate the broadcasting of sports competitions, starting with dog agility. The goal is to eliminate the need for camera operators and directors, while still delivering a professional, TV-like livestream using one or multiple cameras. This is not a theoretical idea – similar systems exist (Pixellot, PlaySight), but none are specialized for agility sports nor integrated with timing systems and live graphics. Our project focuses on rule- based AI direction + computer vision, not generative AI. MVP Scope Video & Livestream: - Capture video from 1–2 cameras (USB / IP / phone stream) - Output live RTMP stream (YouTube / test server) - Automatically switch cameras based on AI decisions AI Director Logi...

I already have a working object-detection pipeline written in Python, and I now need that same logic moved into a cleaner, better-structured Python codebase that’s easy to maintain and integrate into a larger application. Think of it as a conversion/refactor: exact same model, exact same results, but with modern syntax, clear separation of concerns, and thorough inline comments. You’ll start from my original scripts and checkpoints, preserve every bit of accuracy, and hand back a fully functioning module (including a simple demo script) that can be installed with pip-installable requirements. Feel free to streamline library calls—TensorFlow, PyTorch, OpenCV, or whatever is currently in place—so long as the final inference output matches the reference I provide. De...

I need a single piece of software that controls my dimension-weight-scanning workflow from start to finish. The application must talk directly to three devices on the line—scale, volumetric camera and scanner—capture the dimension and weight data, then trigger a photo of the package label. From that image the program should reliably pull out the text, barcode and any QR code in one pass. Once each package is processed, all results have to be written to an XML file structured by date, with an auto-incremented package ID embedded in the node. The same data set should immediately feed two more actions: 1. Generate a ready-to-print shipping label (standard 4x6 thermal format). 2. Push the full XML payload to our in-house system through a REST-style API. I expect the software t...

I have apk files and panel files and example app. I need the new app edited wkth the old apps pictures and logos and then panel files uploaded to hosting stite and app tested. Ibo iptv and panel

I already have a working Python script that identifies stripe-like patterns in still images, but it needs to move from “proof-of-concept” to a polished, deployable module. The current model does a reasonable job on simple samples, yet its accuracy drops with noisy backgrounds, it only understands a handful of stripe geometries, and it processes large batches slower than I’d like. The brief is straightforward: • Improve accuracy: fine-tune the existing algorithm—or replace it—so it handles challenging lighting and mixed-texture scenes without a spike in false positives. • Add more pattern types: extend recognition beyond the basic horizontal/vertical stripes to oblique, curved, or irregular banding the current code ignores. • Optimize perfor...

I’m rolling out a Python-based platform that keeps an eye on city roads in real time. The first goal is clear: monitor live video from roadside traffic cameras, spot congestion, accidents or blockages within seconds, and push actionable alerts through a cloud-hosted pipeline. Later phases will weave in IoT sensors, GPS data and public-transport schedules, but for now cameras take centre stage and all processing happens in the cloud. Here’s what I need from you: • A complete stream-to-insight workflow: camera feed ingestion → cloud message bus → analytics micro-service. • Computer-vision models (OpenCV, YOLO, TensorFlow—your call) that flag incidents with >90 % precision/recall on my test clips. • A REST API that surfaces live traffic stat...

Title: Looking for Python Developer for Game Automation Project on macOS Hey everyone! I'm working on a fun personal project and need some help from a talented Python developer. If you enjoy game automation, computer vision, and creating clever bots, this might be perfect for you! About the project: I'm building a firemaking automation script for an online game (similar to OSRS mechanics) that runs on macOS. The bot needs to handle: - Banking interactions (finding banker, opening interface) - Withdrawing logs - Walking to firemaking spots - Lighting fires - Managing inventory I have plenty of screenshots and reference images to work from, so you won't be starting from scratch! What I'm looking for: I need someone who's: - Really comfortable with Python on macO...

Project Description We're looking for an experienced developer to build a fully automated poker bot that can play in free online poker tournaments (play-money / freerolls). This is a research and hobby project — not for real-money play. The system needs to combine game theory optimal (GTO) strategy with exploitative adjustments based on an expert human player's decision-making framework that we will provide. The bot should be able to join a table, read the game state visually, make decisions, and execute actions — all autonomously. What We're Building (3 Core Systems) 1. Poker Decision Engine (The Brain) Implement a GTO baseline strategy using frameworks like OpenSpiel, PokerRL, or equivalent Build an exploitative layer on top that adjusts based on opponent tend...

I need a complete Python application that runs on a Raspberry Pi 5 and identifies plant-leaf diseases in real time from the Pi camera. The same core model must also accept still-image uploads. All three disease categories—Fungal, Bacterial and Viral—have to be recognised with reliable accuracy. The user interface will be a Django web app. Within that app I want three role levels—Admin, Standard user and Guest—each with appropriate permissions for running detections, reviewing results and managing data. Please structure the code so that REST endpoints are cleanly separated; this will let me expose the following Android-ready APIs later on: live-video analysis, image-file analysis and retrieval of disease-history logs. Deliverables • Python inference engine (...

I need a clear, well-structured Python pipeline that ingests JPEG road images and their corresponding lane-segmentation masks (they sit in two separate folders sharing the same filenames) and returns one scalar per frame: a normalized lane-visibility score. The number is meant for relative comparison only, so internal units do not have to match any physical standard—just remain self-consistent frame to frame. The logic I have in mind revolves around four cues: • Brightness of the lane pixels themselves • Contrast between those pixels and adjacent pavement pixels • A distance weighting that values pixels closer to the camera more heavily than distant ones • A continuity penalty that reduces the score when the mask reveals breaks or flicker in the lane lin...

I’m ready to move from concept to working prototype on a home-security robot that focuses solely on emergency response—specifically, detecting break-ins and sending instant alerts. The core idea is a mobile unit that patrols designated zones, recognises unauthorised entry, and pushes real-time notifications (sound, SMS, or app-based) to my phone while triggering audible deterrents on-site. Here’s the shape of the work: • System architecture: advise on the right combination of sensors (camera, PIR, ultrasonic, mic), onboard processing (Raspberry Pi, Jetson, or similar), and wireless protocols so the robot can run edge-based computer-vision without relying on the cloud. • Detection pipeline: develop or integrate a lightweight model—OpenCV or TensorFlow-L...