OpenCV Jobs

I’m looking to create an AI-powered video companion inspired by Microsoft Copilot, Mica, and Grok. The core feature I need is the ability to overlay interactive tutorials and real-time guidance directly onto a user’s video stream. Here’s the outcome I expect: • A working proof-of-concept that ingests video (live or pre-recorded), detects context, and presents step-by-step on-screen cues and explanations. • A simple dashboard where I can script or edit each tutorial flow without touching code. • Solid architecture documentation so the solution can later expand into additional features such as multilingual support or automated editing. I’m open to whichever stack you recommend, though I anticipate computer-vision tools (e.g., OpenCV), an LL...

I want an app that scans the phone’s camera roll, recognises the same person across different shots, and then lets me decide exactly which images to forward. The core flow is simple: • First, the app analyses every photo, clusters faces that it believes belong to the same individual and shows me those groupings. • From there, I can pick pictures one-by-one or bulk-select them in three distinct ways: individually, by date range, or by geolocation. This mirrors the way I already think about my library, so the interface needs to surface those three filters prominently and let me combine them if I wish. • Once I have a final selection, the app should open the standard share sheet so I can send the chosen files through any installed channel (Messages, WhatsApp, AirDrop...

The goal is to build a proof-of-concept that embeds additional image data inside the JPEG photographs captured by my drones, using the classic Least Significant Bit (LSB) method. Once hidden, the pictures travel through a FANET where each UAV joins a lightweight consensus round to decide which unit forwards the package to the ground station. By the time the file reaches the base, I want to be able to demonstrate that the payload is intact, immutable, and directly traceable to the specific drone that collected it. Core expectations • A clean, well-commented module that hides and later extracts image-based payloads inside JPEG frames via LSB or other types required. • A simple simulation (or lightweight real-world test) showing at least two drones/nodes running a consensus rou...

We need an Android developer to add iPhone-style panorama to the Open Camera app (open source: ). Goal: Implement panorama in Open Camera so it works like iPhone: guided on-screen motion, smooth horizontal panning, and one stitched panorama image. • Works seamlessly on both the front and back cameras. • Guides the user with the same arrow-line UI Apple uses, keeping motion smooth and level. • Captures a continuous series of frames, stitches them on-device, and outputs one high-quality image without pushing memory limits. You’ll work only against the official Open Camera codebase (or a clean fork you create). I’ll take your branch and merge it into our own app later.

Every morning my iPhone has to be woken, a six-digit PIN entered, a work app opened, credentials typed, several form fields completed and a digital signature placed. I want that entire routine removed from my hands by a small desktop robot. Core flow • Wake the phone from sleep by pressing the side button. • Physically tap the screen to enter the PIN code—no Bluetooth, Face ID or Touch ID, just precise mechanical interaction. • Launch the target app, wait for it to load, populate the login screen and navigate onward until the signature page is reached and signed. I imagine a compact gantry or articulated arm driven by servos or steppers, guided by a microcontroller (Arduino, Raspberry Pi, or similar). Because the touch targets are fixed, a predefined set of c...

I’m building a cross-platform mobile app that acts as a personal styling and beauty assistant for both men and women. The core of the product is an AI engine that delivers highly-personalized outfit recommendations. Key functionality • The assistant studies three user-supplied inputs—body measurements, skin tone and face shape—and combines them with each person’s stated style preferences, their body type and real-time fashion trend data. • For every request it returns a clear set of outfit suggestions, indicating why each piece flatters the user’s proportions, complexion and current tastes. • A lightweight dashboard lets me update trend data, brand catalogs and style rules without redeploying the app. Technology expectations The re...

I want an app that scans the phone’s camera roll, recognises the same person across different shots, and then lets me decide exactly which images to forward. The core flow is simple: • First, the app analyses every photo, clusters faces that it believes belong to the same individual and shows me those groupings. • From there, I can pick pictures one-by-one or bulk-select them in three distinct ways: individually, by date range, or by geolocation. This mirrors the way I already think about my library, so the interface needs to surface those three filters prominently and let me combine them if I wish. • Once I have a final selection, the app should open the standard share sheet so I can send the chosen files through any installed channel (Messages, WhatsApp, AirDrop...

I need a fully-packaged proctoring add-on that plugs straight into Moodle quiz pages. Before the candidate even starts, the page must request camera permission, show a brief consent notice, then take and store an initial snapshot. While the quiz is running, the script should capture images at a configurable interval and run face-detection logic that immediately raises alerts for four specific situations: no face, multiple faces, noticeable face movement, and any visible gadgets. Each alert increments a violation counter; when the counter reaches a limit I set, the attempt should submit automatically. Inside Moodle’s admin area I want a settings screen where I can toggle the feature, choose snapshot frequency, set violation limits, and enable or disable each alert type. After each e...

I need a Python-based tool that can scan video files, detect Trees, Road, Infrastructure—and leave room for many more object classes as the project grows—then save every relevant frame straight into a MySQL database. Each stored image must be linked to the corresponding frame number and any detection metadata so I can later query, filter, and analyse the results. Once the data is stored, I want a lightweight viewer that steps through the saved frames in order, overlaying the detection boxes so I can visually confirm accuracy. OpenCV for frame extraction and display is acceptable; YOLO, TensorFlow, or another modern model is fine so long as the code is clean, well-commented, and easy for me to retrain with additional classes. To keep the hand-off smooth, please include: •...

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...

Quiero implementar en mi servidor Linux un sistema OMR escrito en Python que me permita elaborar, procesar y calificar hojas de respuesta de 1 a 100 preguntas. Necesito que desde la propia interfaz gráfica pueda: • Diseñar plantillas personalizadas: definir número de preguntas, incluir nombre de la institución y cargar el logo. • Reservar cuatro columnas de dígitos (0-9) que el alumno sombreará para generar su código interno; por ejemplo, 1101 identificará “PRIMERO A – Estudiante 01”. • Escanear la hoja PDF o imagen, identificar automáticamente al estudiante mediante esas columnas y leer cada burbuja para asignar la nota. • Guardar los resultados directamente en MySQL y permitirme co...

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 ...