Computer Vision Jobs

I need a reliable annotator to go through a set of raw video clips and mark every scene boundary so the material can be fed straight into my training pipeline. Your job is to watch each file, identify where one scene ends and the next begins, and export those boundaries in a clear, machine-readable format we agree on (JSON or CSV with start-end frame or timecodes). Accuracy is critical because the data will be used to train a scene-segmentation model, so I’m expecting consistent guidelines, double-checking, and a short sample round before you dive into the full batch. If you are already comfortable with tools like CVAT, VGG Annotator, or Adobe Premiere markers, that will make the workflow faster, but I’m open to whichever platform lets you deliver clean, well-structured outp...

I’m building a proof-of-concept layer that intercepts any image or video delivered through a web browser and automatically replaces detected humans or animals with a neutral “shadow” placeholder. The aim is to strip away elements that might provoke irrational responses while keeping the surrounding media unchanged. Here’s what I need you to deliver: • A working browser-based solution (extension, local proxy, or another approach you propose) that processes both static images and streaming video in real time. • Reliable detection of people and animals using modern computer-vision tools (e.g., TensorFlow, OpenCV, YOLO, or alternatives) and seamless substitution with a non-identifying silhouette or blurred overlay. • A simple toggle UI so users can...

I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specia...

I need a clear, developer-ready requirements document for an AI system whose core job is data analysis on image data—specifically screencaptures. Here’s what I’m looking for: • A concise project overview that states objectives, success criteria, and any assumptions. • A data section describing expected screencapture formats, resolution ranges, storage locations, and privacy safeguards. • Detailed functional requirements that walk through the end-to-end pipeline: ingestion, preprocessing, labeling guidelines, and model-ready datasets. • Non-functional requirements covering performance targets (latency, accuracy, throughput), scalability, and security. • A modeling strategy outline suggesting suitable computer-vision approaches, necessa...

I’m building an MVP that inspects coal quality from both photos and short videos. The system must return a simple breakdown—e.g., “Coal 75 % / Stone 25 %”—and lay the groundwork for optional size-distribution analysis in later releases. What you’ll have to work with • A batch of truck-loading videos and corresponding lab quality reports. Phased scope Phase 1 – Extract still frames from the supplied videos and organise them into a clean, labelled image set. Phase 2 – Train a computer-vision model (YOLO or a comparable CNN in Python) able to distinguish coal from stone. Baseline accuracy is sufficient for now; we can iterate later. Both real-time and batch inference modes should be supported. Phase 3 – Wrap the model in...

We are looking for a web designer to create a corporate website (14 pages) for a company specializing in construction material installation and public facility construction. Requirements: Responsive design (PC / Tablet / Mobile) Clean and modern design Attention to detail -We Provide: Text and images Preference: Female designers preferred. Please send: Portfolio Estimated timeline Your price. reference site:

OpenCV Hill Climb Project – Description Project Title: Autonomous Hill Climbing Robot using OpenCV Project Description: Developed an AI-based computer vision system using OpenCV and Python that enables a robot/vehicle to automatically detect and climb slopes or hills. The system processes real-time camera input to analyze terrain conditions such as slope direction, obstacles, and surface edges. Implemented image processing techniques like edge detection, contour detection, and gradient analysis to determine the steepest safe path for climbing. Applied the Hill Climbing optimization algorithm to continuously choose the best next movement direction based on terrain analysis. Integrated real-time decision making so the robot adjusts movement dynamically while climbing uneven surf...

I have 15 security-camera videos recorded at a petrol pump, each running for roughly 10 hours (about 150 hours of footage in total). For every vehicle that appears, I need two key pieces of information captured: • the half-hour time-slot in which it arrived (e.g., 09:00–09:30, 09:30–10:00, etc.) • how long that vehicle remained on the premises Within each 30-minute bin, please provide a count of vehicles in the following hierarchy: Broad classes – 2 Wheeler – 3 Wheeler – 4 Wheeler – Truck / Bus / Tractor / other special vehicles Detailed 4-wheeler breakdown (as requested via the form) SUV, Sedan, Hatchback, Pickup Truck, Van Heavy & special-vehicle breakdown Truck, Bus, Tractor, JCB, or any other special vehicle you...

We are looking for native Hindi-speaking freelancers in India to participate in a simple image capture from smatphones for daily items project. The goal of this project is to help improve Hindi text recognition systems. 1- Task Description You will take photos of real-life objects that contain visible text using your smartphone camera. Examples: Business cards, contact cards, name tags etc Real Receipts , Bills etc Real Schedules or timetables etc Other everyday items with printed text For each object: Take 3 photos Use different angles and lighting Image Requirement: 1 Asset = 3 Images (Front/Center, Left, and Right angles) Make sure the images are clear and not duplicated 2- Hindi Image Categories to Collect from Smartphone Manually Please capture images of the following ...

We are hiring remote contributors to create photo-based language data using everyday materials found around you. This project focuses on collecting natural, real-life text captured through a phone camera. What You’ll Do - Photograph common objects that contain written text (printed or handwritten). - Provide three unique shots per item, changing position, distance, or lighting. - Ensure content is original and varied. - Most of the visible text (minimum 75%) must be in your local language. Eligibility - Fluent in the target language (native or near-native). - Physically located in a country where the language is used. - Own a smartphone capable of taking clear photos. How It Works - Upload images through a Google Form. - Submissions are reviewed individually. - Only valid, clear, ...

I want to build a small, self-contained charging station that wakes up only when it “sees” a bottle and a can. The core will be an Arduino (any recent 32-bit board is fine) tied to a solar panel and battery pack. A lightweight AI vision module or camera running something like TensorFlow Lite or OpenCV should continuously—or on a duty-cycled basis—look for bottles. The moment a bottle is detected, the system must move straight into the charging routine without waiting for external confirmation; no alerts, no logging, just automatic activation. What I need from you • Complete Arduino firmware that integrates the vision trigger with the charge-controller logic. • A schematic / wiring diagram showing how the camera, solar panel, charge controller, and any...

I have continuous video footage from live inspection of steel flat bars strips our production line and need a complete deep-learning pipeline that flags surface, structural, and functional defects in real time. The raw videos are already labeled by timestamp; frame-level annotation may still be required for optimal accuracy. Scope • Design and train a deep neural network—CNN, transformer, or hybrid model—that detects all three defect categories directly from video streams. • Implement preprocessing (frame extraction, augmentation, ROI isolation) and post-processing (tracking, alert generation) in Python using libraries such as PyTorch/TensorFlow and OpenCV. • Optimise for inference on an on-premise GPU; latency under 200 ms per frame is the target. &bull...

I need a single AI application that can see, hear and speak to the user. Using my own OpenAI key (or, if you prefer, a Gemini or Claude endpoint), I want you to wire conversational logic with the device camera so the assistant can recognise whatever the lens captures—faces, emotions, objects, actions, text, you name it—then hold a natural dialogue about what it sees. The build has to run everywhere: a mobile version for iOS & Android, a web app that works in the browser, and a desktop release for Windows and macOS. Users should be able to create an account, log in, and start interacting immediately. Speech-to-text converts their voice to prompts, vision models process the live feed, and text-to-speech delivers the reply in real time. For LLM calls, default to ChatGPT via ...

I’m building a ROS 2 pipeline that must reliably spot nuts and bolts in a live camera feed and publish their positions to the rest of my stack in real time. Your job is to create the complete vision-detection module—from model training or fine-tuning through to a clean ROS 2 node that subscribes to an image topic and spits out the detected objects with bounding boxes (or masks) and a confidence score. OpenCV, TensorFlow/PyTorch and any of the common ROS 2 image-transport plugins are all fine as long as the final node runs on Humble and stays GPU-agnostic (CUDA acceleration is a bonus, not a requirement). I already have a test rig with a standard USB camera; if you need specific calibration images I can capture them for you. Please deliver: • Source code for the detection...

I would like help finishing a program I started using Cursor AI. I want to be able to use a 3d stl file of the bottom of foot and overlay an image of a foot orthotic to match the bottom of the foot.

I'm looking for a proficient image capturing and processing system to ensure quality control of our products. The primary focus is on maintaining color consistency. Key Requirements: - Capture high-quality product images for quality control. - Process images to detect and signal color consistency issues. Ideal Skills: - Experience in image processing and computer vision. - Familiarity with quality control processes in manufacturing. - Ability to develop signaling mechanisms for quality deviations.

I need a small software tool that runs on an NVIDIA Jetson Orin Nano to capture, organize, and export a labeled image/video dataset for training YOLO object detection models. The camera is an 640×512 sensor connected via MIPI CSI-2 (4 lanes) using a 22-pin ribbon cable to the Jetson Orin Nano CSI connector. The tool should support live preview, capture, dataset management, and YOLO-format export. Build an application that: - Interfaces with the camera on Jetson Orin Nano - Acquire frames from the MIPI CSI-2 camera reliably (GStreamer / V4L2 / libargus or best approach for this sensor). - Provide live preview (grayscale or false color optional). - Display FPS + resolution. Dataset capture: - Capture single frames and/or short clips (optional). - Save images in a consist...

More details: Which deep learning framework do you prefer for this project? TensorFlow Do you have a preferred dataset for brain MRI image segmentation? Please use a publicly available dataset Which style of output visualization do you prefer? 2D slices with segmentation overlay

I need a detailed physics-based simulation for autonomous robots operating in urban environments. The simulation should incorporate the following sensors: LIDAR, Camera, and Ultrasonic. Key Requirements: - Development of a realistic urban physics-based simulation. - Integration of LIDAR, Camera, and Ultrasonic sensors. - Focus on urban environment dynamics and challenges. Ideal Skills and Experience: - Expertise in simulation development, particularly physics-based. - Experience with sensor integration - Strong background in robotics and urban environment modeling. - Proficiency in relevant simulation software and programming languages.

I need a small utility that hooks into a PC game built on a custom engine and, at run-time, captures three things per frame: • the full 4×4 view-projection camera matrix • the depth buffer in linear space • the raw, uncompressed RGB back-buffer All data should be written straight to disk in a clean, well-documented CSV schema so I can feed it directly to my AI training pipeline later. Resolution, frame interval and output folder must be user-configurable through simple flags or an .ini file. I am comfortable providing you with a private build of the game plus symbols; the rest of the reverse-engineering or graphics API interception logic is yours to implement. Feel free to rely on tools such as RenderDoc, NVIDIA Nsight, Detours, or your own DLL injection met...

Real-Time Face Swap System Requirements Specification 1. Project Overview Purpose: Development of real-time face replacement functionality aimed at protecting privacy and expanding expressive capabilities during streaming. Users: Exclusively for individual streamers. Streaming Environment: - Current: Mac mini (M4 chip, 16GB RAM) - Future: Upgradeable to 32GB/64GB as needed - OS: Mac preferred (portability priority), Windows compatibility considered if necessary - Streaming Software: OBS to be used 2. Non-Negotiable Requirements (Must Have) 2-1. Technical Requirements Face Replacement Specifications: - Replace only eyes and eyebrows - Use original parts for nose down (mouth/lips) - Reason: To prevent double lips when drinking liquids Safety: - Face processing must never drop out w...

I'm looking for a pure Python RPA expert with a strong background in NLP and computer vision libraries/ models. Your role will involve web scraping, designing neural networks, and automating complex workflows. Patience and a proven track record in alpha testing are essential. Key Requirements: - Proficiency in Python with RPA tools - Experience with web scraping using playwright or Selenium - Designing and implementing neural networks - Expertise in Vision libraries/offline models (without using API), NLP using spaCy - Proficient in computer vision with TensorFlow. Preferred Skills: - ML Ops and training knowledge - Strong problem-solving skills - Ability to handle complex workflows Ideal Candidate: - Proven experience and portfolio - Patient and methodical approach Looking forwar...

我正在为一款工业相机进行 ISP 图像测试与色彩调试，目标是在 1 个月内交付可量产的调试参数。任务仅针对静态图像，核心是通过反复测试和优化，让相机在多种光照与色温条件下都能还原准确、自然的色彩。 主要工作内容 • 制定静态图像测试方案：包括分辨率卡、人像卡、灰阶卡等常规靶标及光源条件 • 采集 RAW 与 YUV / JPEG 对比样张，输出测试报告 • 根据测试结果微调白平衡、色彩矩阵、Gamma 等 ISP 模块参数 • 给出最终可直接烧录的参数表，并附带调试说明书 完成标准 1. 色彩 ΔE 满足既定工业相机参考值 2. 典型场景（室内、室外、弱光）均通过对比评审 3. 提交完整测试数据、调试过程记录及最终参数 时间要求 全部工作须在 1 个月内完成，并支持 1 次远程复测协助。 我更看重相关经验。请在申请中突出您以往做过的相机 ISP、色彩或图像质量调优案例，以及常用工具链（如 IQ Tuning, Imatest, X-Rite 或自研脚本等）。如果能在同行业项目中展示过可衡量的提升效果，将优先考虑。