Datamaskinsyn Jobs

I need someone good at solving problems involving geometrical patterns, their subpatterns, and sub-to-sub patterns, and who can work at any level for jewellery. Who has good knowledge, skills, and experience in detecting and using low-quality or unclear objects, replacing any part of the object jewellery with the original one from another object, and making it fit together naturally and cleanly at the overall level using AI. If there is anyone already familiar with this kind of problem-solving at the geometry level one bit. We need this functions need to develop as an application. Must have previous experience in this kind of work and at least related work needs to be shown.

I am building a proof-of-concept that lets a Raspberry Pi follow a user’s gaze and immediately translate that data into visual output on an attached screen. At the end of the job I want to be able to look at a point on the display and watch the system draw a corresponding dot, line, or free-hand stroke in real time. What I already have • Raspberry Pi 4 with camera interface available • Freedom to choose the most suitable eye-tracking library (OpenCV, MediaPipe, PyGaze, or similar) • One HDMI monitor for testing, though the code should remain display-agnostic so I can later swap in a touchscreen or e-Ink panel without major refactoring. What I need from you • Set up and calibrate the camera-based eye tracker on the Pi • Translate raw gaze coordinat...

I’m building a computer-vision layer that can reliably recognise images and return structured results that the rest of my platform can consume. The core of the project is an AI-driven image-recognition model; I need someone who can take it from dataset preparation all the way to a callable endpoint. Here’s what success looks like for me: • A well-architected model (TensorFlow, PyTorch or comparable) trained on the dataset I’ll supply—or augmented with open-source sets you recommend—to reach an agreed accuracy threshold. • Clean, readable Python code with clear comments and a short README so future team members can retrain or fine-tune the model. • A lightweight API or Dockerised service that I can spin up on AWS/GCP and hit with a POST requ...

I have hours of raw fight, match, and court footage—boxing bouts, football games, basketball clashes, and MMA events—and I need those long recordings distilled into fast-paced highlight reels. Each reel should automatically surface the biggest moments: clean knock-outs, jaw-dropping goals, buzzer-beater threes, and decisive submissions, stitched together with sleek transitions and scoreboard overlays. I’m looking for a solution that leans on AI rather than manual scrubbing. Whether you prefer computer-vision toolkits (OpenCV, PyTorch, TensorFlow) or proven AI editors like Wisecut, Descript, or run-time FFmpeg pipelines, I’m open, as long as the end product is: • A 60–120-second, 1080p (or better) reel for each event I supply • Accurate, exciting ...

I want to launch a web-based platform that recognises sign language through a user’s webcam and instantly shows the corresponding letter, word, or short phrase on screen. The core aim is educational: helping deaf learners, their families, and teachers see whether a sign has been performed correctly and understand its meaning in real time. Here is what I have in mind. When someone visits the site, they grant camera access, perform a sign, and the page immediately displays the detected output along with a brief explanation of that sign. A clean, distraction-free interface, large typography, and high-contrast colours are essential so the information is easy to follow. Accuracy matters more than speed, but I still want recognition to feel smooth rather than laggy. I am open to the under...

I need a proof-of-concept mobile web application that works smoothly on both Android and iOS. The core idea is simple but technically rich: a visitor points their phone at a public monument, the camera captures an image, the app recognises the figures depicted, and then each of those historical characters speaks back in a distinct, period-appropriate voice. Here is the flow I have in mind: 1. Vision: Use a lightweight on-device or edge computer-vision model to identify every figure in the photo. Accuracy, speed, and the ability to handle outdoor lighting are crucial. No text recognition is required—just figure identification. 2. Voice design: For each identified figure, generate an era-authentic voice with ElevenLabs’ Voice Design API. Think marble statues suddenly speaking...

Build the computer vision system as if it were analyzing gameplay from a retail copy of the game. It must not rely on any internal game state, memory access, engine hooks, debug APIs, or hardcoded timing values. The system should make all decisions solely from the rendered video output, exactly as a player would see it on screen. The system must support two modes with a user-toggle: * Shot Meter Mode: Analyze the live shot meter visually in real time rather than using predefined release timings or static values. * Animation Mode: Analyze the player’s shooting animation to determine the optimal release timing without using the shot meter. The solution should process frames with low latency, be resilient to different camera angles, graphics settings, and jump shots, and include a ca...

• Description We will provide the sports data to you. Screen video frames will be fed into a backend engine via API: 1. Types of sports What sport is it? Football/basketball/rugby/American football, etc 2. List of Logos Detected logos: UEFA, Real Madrid, Bayern Munich, Liverpool, Inter, etc 3. List of players Identify players from the shirt: 10 Kylian Mbappe, 11 Rodrygo, 12, 13 … 4. Home/away From the players’ wears: Real Madrid home/away, Liverpool home/away etc 5. Match info (team and score) on the top left corner of the screen (if there is any) 6. Who is holding the ball. Upon a worker's initiation and processing, your engine will store the identified information in memory and send it back to the front end. The worker can be re-initiated/reused. For train...

Development of an OCR-Based Industrial Vision System using NVIDIA Jetson Orin Nano About Us We are an industrial automation company specializing in robotic palletizers, case packers, end-of-line automation and custom machinery. We are building a reusable machine vision platform, and this OCR project is Phase 1. Project Objective Develop a robust OCR application for NVIDIA Jetson Orin Nano using a camera to read printed alphanumeric characters. The architecture should be modular and reusable for future barcode, QR, AI inspection and robot guidance applications. Hardware Platform  NVIDIA Jetson Orin Nano Developer Kit  Raspberry Pi HQ Camera (Sony IMX477) or equivalent CSI camera  LED illumination  C-Mount Lens  Future migration to Basler industrial camera Scope of Work Camera Integrat...

Project Overview: I need a technical developer to remotely assist in installing, configuring, and testing an open-source Python computer vision video processing repository from GitHub onto my Windows PC via TeamViewer or AnyDesk. The project requires capturing a live webcam feed, running local model inferences, and routing the output into OBS Virtual Camera for streaming.

**AI Egocentric Data Collection Services in India | Scalable iPhone Participant Network** Are you looking for a reliable, execution-focused partner for large-scale AI Egocentric and First-Person Data Collection in India? At **Aelifins Technologies**, we simplify field operations by managing the complete data collection lifecycle—from participant recruitment to multi-level quality assurance—so your team can focus on building better AI models. ### Verified iPhone Participant Network * 100–200+ pre-vetted participants across India, ready for immediate onboarding. * Guaranteed access to iPhone 11 and newer devices for high-quality spatial and video data collection. ### Diverse Real-World Data Collection Environments * **Residential:** Natural daily-life activities and h...

Developer Required – Visual Positioning System (VPS) for UAVs We are looking for an experienced Computer Vision / AI / Embedded Systems Developer to help us build a Visual Positioning System (VPS) for UAVs and drones. The initial prototype will be developed using NVIDIA Jetson Nano + Camera, with the goal of creating a robust visual navigation system for challenging GPS/GNSS environments. Required Skills * Python / C++ * OpenCV * Computer Vision * NVIDIA Jetson Nano * Optical Flow * Visual-Inertial Odometry (VIO) * SLAM * IMU / Sensor Fusion * ArduPilot / PX4 * MAVLink * UAV / Drone Systems * Linux / Embedded Systems Project Scope * Camera-based visual positioning * Optical Flow implementation * Camera + IMU fusion * VIO development * Real-time position and velocity estima...

I need an AI-driven solution that can open a finished PDF—typically an employment contract, a payslip, or another HR-related document—locate the existing personal information inside it, and swap that content for new data without disturbing the original layout, fonts, tables, or signatures. The fields to be changed are always the same set: full names, addresses, and a few employee-specific details. In day-to-day use I will hand the system a batch of template PDFs plus a data file (CSV or JSON) that lists the replacement values for each employee. Your code should automatically map every column in that dataset to the right spot in the PDF, apply the changes, and export clean, flattened PDFs ready for distribution. Preferred stack is Python, and I’m comfortable with librari...

Title: AI-Based Low-Cost Video Analytics System for Assisting Grassroots Football Talent Identification Budget ₹2,500 INR (Fixed Budget) Project Requirements Write a complete research paper based on the above topic. Follow a standard research paper structure: Abstract Introduction Literature Review Proposed Methodology Results/Discussion (or Proposed Framework) Conclusion Future Scope References Format the paper according to IEEE. Use recent and relevant research papers as references. Ensure the paper is original, plagiarism-free, and includes proper citations and references. The writing should be publication-quality, academically sound, and professionally formatted. Provide the final document in an editable Microsoft Word format (LaTeX is optional). Preferred Skills Experience in resea...

I’m gathering a diverse pool of participants for a worldwide Face Motion Project that will refine future computer-vision and facial-motion recognition models. Your role is simple: record a short video of your face while following a few on-screen prompts, then upload it through the official project platform. You may use any device that suits you—smartphone, tablet, or computer. All major phone brands are fine (Apple, Samsung, Google, or others), and for Samsung users we accept clips recorded on Android 11, 12, or 13 without restriction. The recording itself takes only a couple of minutes. Once the clip is submitted and approved, I will release payment immediately. The final deadline to complete the task is August 7, so please register and record as soon as you can. Register h...

We are looking for freelancers to contribute to a large and diverse facial image dataset that will support machine learning research and facial recognition model training. The project focuses on collecting high-quality facial images that represent real-world variations in identity, head poses, appearance, and age progression. Each freelancer will complete four image collection tasks, including front-facing neutral captures, controlled head-pose images, and historical facial images showing natural changes over time. Freelancers are required to submit up to 28 approved images, with a minimum of 11 valid images needed for an approved and billable submission. Images must be authentic, high quality, and reflect natural variations in clothing, hairstyle, lighting, background, facial angles, a...