Viziune computerizată Jobs

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'm seeking an experienced AI developer to create a computer vision model focused on detecting people. The model will need to function effectively in both indoor and outdoor environments. Key Requirements: - Primary function: Object detection with a focus on people - Adaptable to both indoor and outdoor settings - High accuracy and reliability Ideal Skills and Experience: - Expertise in AI and machine learning - Strong background in computer vision, particularly in object detection - Experience with datasets and training models for varied environments - Proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch Please provide examples of similar projects you've completed.

[FFmpeg-Based Video Processing Specialist] We are looking for a specialist who can handle video processing within an automation pipeline and configure basic subtitle and animation settings. Main Responsibilities: - Install and configure FFmpeg - Set up automated video conversion and clip editing - Configure basic subtitle style (font, position, timing) - Apply simple animation effects - Analyze error logs and improve system stability (Detailed tools and internal structure will be shared after meeting)

We have a platform that requires user to do a face capture, means user will take a live picture of themselves The goal is to ensure that only real users use our system. Let me know if you have done anything like this or capable

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...

More details: What type of fashion tech MVP are you looking to build? virtual try on with fit prediction What key features do you want in your virtual try-on system? Size and fit prediction What type of size and fit prediction functionality do you need? Measurement-based predictions, User profile customization

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 have a small batch of images—fewer than one-hundred—that need clean, consistent object-detection labelling. For each image you will draw tight, non-overlapping bounding boxes around every instance of the target classes I will supply once we start. Accuracy matters more than speed; missed objects or sloppy boxes will be rejected. Preferred workflow is any modern tool that can export to COCO JSON or Pascal-VOC XML, as these formats plug straight into my training pipeline. If you normally use LabelImg, CVAT, Supervisely, or similar, that’s perfect. Deliverables • Annotated dataset in COCO JSON or Pascal-VOC XML (your choice, just stay consistent). • A quick text report summarising class counts and any edge cases flagged during labelling. I will run a...

I have a set of roughly 51 – 200 technical diagrams that must be fully prepared for computer-vision training. Each image needs three things: clear class labels, accurate bounding boxes around every object of interest, and pixel-level segmentation masks. You may work in any modern annotation platform you prefer—CVAT, Labelbox, VGG Image Annotator, or a comparable tool—as long as the final export is delivered in COCO JSON (or another widely used format we agree on before you begin). Consistency is critical; every diagram must follow the same labeling taxonomy and colour scheme so the dataset can be dropped straight into a model pipeline without extra cleaning. Deliverables • Labeled, boxed, and segmented versions of each diagram (51–200 images) • One...

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...

I am embarking on a full-stack build of a humanoid companion robot whose number-one mission is caring for an infant from birth through age five. Beyond the usual chore-support and graceful household navigation, the robot must excel at three core caregiving abilities: • Feeding – from bottle to basic solids, with portion control, temperature checks, and spill detection. • Diaper changing – autonomous removal, cleaning, and secure re-diapering, tracked in a hygiene log. • Health monitoring – continuous vitals, posture, and environmental safety checks, with instant mobile alerts. Rich, natural interaction is essential. The robot should talk and sing lullabies, entertain with simple games, and read stories or show age-appropriate educational content...

FUNCTIONAL SPECIFICATION WhatsApp-Based Machine Photos & Document Management System Global Objective Use WhatsApp as the single input channel to automatically manage: General machine photos Machine identification plates Logistics documents (Delivery Notes / CMR / Transport Docs) Each image type must follow a separate, independent workflow, without mixing logic or data. FLOW 1 — GENERAL MACHINE PHOTOS Input Photos of machines sent via WhatsApp: Front, side, wheels, basket, display, etc. These images are not identification plates and not documents. System Logic The system must automatically detect a machine number visible in the image (painted number, sticker, marking). Example: 248 This detected number is used as the machine identifier. Cloud Storage If the folder d...

Hiring Freelancers – AI / Computer Vision & Edge Systems Confidential Enterprise Project (NDA Required) We’re looking to engage a few experienced freelancers for a confidential, enterprise-grade technology project involving computer vision and edge AI. The work is part of a real production deployment (not a research project or demo). Detailed project information will be shared only after shortlisting and NDA signing. Engagement Details Type: Freelance / Contract Duration: ~3–4 months (extension possible) Commitment: Full-time preferred (role dependent) Work mode: Remote (India preferred) Start: Immediate / near-term Open Roles 1. Computer Vision / Machine Learning Engineer What we’re looking for: Hands-on experience with object detection / visual recognition Exp...

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 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 need a small application that, once given a set of latitude-longitude boundaries for a desert sector, automatically pulls the most recent, freely-available satellite imagery every day, stores it locally, and then runs an object-detection model that flags cars and trucks only. The moment a vehicle silhouette is spotted, the program must return its exact coordinates so rescuers can be dispatched quickly. I’m flexible about the imagery source—NASA, ESA, Google Earth, or any other free feed is fine as long as it delivers cloud-free, high-resolution scenes on a daily cadence. You are welcome to mix sources when one is fresher than another. The detector has to work at desert scale, so please build it with an established computer-vision framework (e.g., TensorFlow, PyTorch, YOLO, ...

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...

This project aims to develop an AI-powered fitness assistant that provides real-time posture correction and feedback during physical workouts. With the growing popularity of home-based and remote fitness routines, there is a pressing need for intelligent systems that can guide users to perform exercises safely and effectively, minimizing the risk of injury and promoting consistent form. The proposed system leverages advanced computer vision and machine learning techniques to detect and analyze body posture using a live camera feed. By utilizing frameworks such as MediaPipe and OpenCV, the assistant accurately captures skeletal landmarks and evaluates the user’s movement patterns in real time. The AI model processes this posture data to identify deviations from the correct form and de...

The file in question is a single screenshot whose text is now so heavily blurred that it is impossible to read. My only goal is to recover that text with enough clarity that every character can be copied or transcribed without guesswork. Because the blur is severe, I expect advanced de-blurring techniques—whether that means frequency-domain restoration in Photoshop, AI-powered tools such as Topaz Sharpen AI/Gigapixel, or custom Python/OpenCV scripting. Feel free to combine multiple passes or layer-based masking if that gives the best result; I just need the cleanest, most legible outcome you can achieve. Deliverable: a high-resolution image (PNG or TIFF) where the text is crisp and readable. If the restored file must remain at its original dimensions, please provide a second upsc...

Project Title: AI-Based "Digital Arrest" Scam Detection System (MVP) Project Overview: I am looking for an AI/ML developer to build a functional prototype of a security system designed to detect "Digital Arrest" scams. The system needs to analyze video and audio inputs in real-time (or near real-time) to identify deepfakes, threatening language, and fake law enforcement visuals. Key Features Required (The Scope): I need a desktop-based prototype (Python/Streamlit or similar) that can process a sample video feed or live webcam input and perform the following: * Audio Threat Detection (NLP): * Transcribe audio in real-time (using OpenAI Whisper or Google Speech-to-Text). * Detect specific scam keywords/intents (e.g., "money laundering," "CBI," &...

I’m building a production-grade image-enhancement pipeline and want an AI engineer who lives and breathes Python and computer vision. The goal is to take raw mobile photos and automatically clean noise, sharpen details, fix color and convert them to 3d printable files. You’ll choose or design the model, train or fine-tune it, then wrap everything in a lightweight API that my mobile team can call in real time (on-device when feasible, cloud fallback when not). You should be completely comfortable with OpenCV plus deep-learning frameworks such as PyTorch or TensorFlow, and you know the trade-offs between traditional filters, GAN-based approaches, and modern super-resolution networks. Experience packaging models for CoreML, TensorFlow Lite or similar mobile runtimes will set you ...

>>> Please don't send AI-generated proposals. We'll know. Write a few real sentences about why this project interests you and what you'd bring to it. >>> We expect clean, hand written code. If your plan is to generate the entire frontend with AI tools and call it a day, this isn't the role for you. >>> No Agencies. >>> Don’t apply without heavy experience, Don’t apply with a portfolio full of apps I cant verify (Don’t say sorry its under a NDA, If that’s the case sorry but I’ll take that job as nonsense), I will be checking. About the Project We're building a social competitive sports app powered by on-device AI/computer vision. Think Strava meets sports analytics. The app uses real time ML inf...

I am building a CNC pen plotter that draws people on paper using a single pen. Before investing in a full pipeline, I want to run a paid validation phase to test feasibility and output quality. I am looking for a freelancer who can convert 1–2 images of people into clean, recognisable, CNC-ready vector line drawings. This is a finite, well-defined task, not open-ended research. Scope of Work (Validation Phase) - You will: - Take 1–2 photographs of people (provided by me) - Remove or ignore the background - Generate a vector line drawing that: ( Is recognisable when drawn with a pen Uses only strokes / paths Contains no dots, no shading fills, no raster data Looks like a human sketch Is suitable for CNC pen plotting ) Input Images: - May be colored - May include background...