Opencv jobs

...video clip of the incident 20s for example. Channels: Integration with WhatsApp API (e.g., Twilio or Meta API) OR a custom Mobile App (Flutter/React Native) for security staff. Dashboard: A simple web-based or local interface to view live logs, replay detected incidents, and manage sensitivity settings. Technical Requirements: Programming Language: Python. Frameworks: PyTorch, TensorFlow, OpenCV, YOLO (v8/v10), or MediaPipe. Hardware Compatibility: Must be optimized for NVIDIA CUDA cores / TensorRT. Scalability: The code should support multiple camera streams simultaneously. Deliverables: Full Source Code (well-documented). Setup Guide (How to install on the NVIDIA device and connect cameras). A working prototype/MVP demonstrating the detection of basic theft actions. ...

...gesture starts a smart timer that defaults to 5 seconds, then triggers the camera shutter. • The captured image uploads instantly to the user’s Google Drive (or another Google Cloud bucket, as configured). • A unique QR code is generated on the spot and displayed so the photo can be shared or downloaded with a single scan. What I need from you 1. Production-ready gesture-recognition pipeline (OpenCV, MediaPipe, TensorFlow, or similar) tuned for finger counting in normal indoor lighting. 2. Lightweight desktop UI—native, Electron, or PyQt—showing live preview, countdown overlay, recent upload status, and the generated QR code. 3. Seamless Google Drive authentication and automatic file push, with error handling for offline scenarios. 4. Clea...

...of issues. Directly impact sensor calibration quality and efficiency. Required Qualifications Hands-on experience in software development with Python3, OpenCV, pandas, numpy. Ability to prototype algorithms in C++ and Python, including initial data analysis to discover trends. Background in signal processing, computer vision, robotics, or equivalent. Strong problem-solving skills and ability to break complex problems into manageable tasks. Self-motivated, hands-on, independent, and dedicated. Excellent collaboration skills in a diverse and dynamic team environment. Technical Skills & Tools Languages: Python3, C++ Libraries/Frameworks: OpenCV, pandas, numpy Software Practices: version control, test-driven development, documentation Other: prototyping algorithms, data ...

...interactions. The primary goal is to create a stable, maintainable, and intelligent automation system that can detect UI elements, respond to different screen states, and recover from interruptions during long-running execution. ⸻ Technical Requirements • No source code access: The solution must operate externally via UI interaction only. • Preferred approach: A computer-vision–based solution (e.g., OpenCV) for detecting buttons, dialogs, pop-ups, and UI regions based on visuals. • Alternative approach: If feasible, a working Xcode/XCUITest-based automation that does not require app source code is acceptable. • macOS support: • The solution must be runnable on macOS. • The macOS implementation should support automation across multiple ...

...algorithm spots a potential anomaly. All processing must happen in real time without introducing perceptible latency to the surgeon’s view. My current hardware outputs standard HDMI and records to DICOM, so your code should sit either between the camera head and the display (FPGA, GPU box, or high-performance PC is fine) or run as a software module on the workstation already attached to the scope. OpenCV, CUDA, TensorFlow, or similarly robust libraries are welcome—just keep licensing constraints clear. Deliverables • Executable or deployable source that enhances image clarity, performs real-time analysis, and triggers automated anomaly detection. • API or integration hooks so I can feed the processed stream back to my recording software. • A conci...

...every new bullet hole, and then calculates the shooter’s score according to standard concentric-ring values. Once the session ends, the system should compile everything into a clear, detailed report that can be downloaded. Scope of work • Detect the target board in every frame, even if lighting changes or smoke drifts across the lens. • Technical preferences I am comfortable with Python, so OpenCV, YOLO, TensorFlow, or a similar stack will fit well. If you prefer another language or library, just make sure the final solution runs on Windows 10 and can be triggered by a simple command or scheduled task. Deliverables 1. Well-commented source code and any trained weight files. 2. A small sample dataset for verification. 3. Step-by-step setup guide. 4. Exam...

I already have a first-cut codebase that an AI generated for a small desktop-web hybrid dashboard. It mixes Streamlit with a PySide/PyQt front end, runs on Python 3, and pulls Poppler and OpenCV in the background for PDF and image handling. What I need now is a developer who can step in, clean the code, and make the whole thing run exactly as intended. Core goal Turn the existing prototype into a smooth interactive dashboard that can visualise data coming from CSV files, live database connections, and a couple of light-weight REST APIs. The layout and widgets are sketched out; several functions compile but don’t yet talk to each other the way they should. Scope of work • Refactor the Streamlit and PySide/PyQt layers so they share state seamlessly (no duplicated logi...

I have a video that flashes several pieces of contact information on-screen, and I need every one of those details captured and organised for me. The task is limited to what appears visually in the footage—there’s no need to analyse audio or spoken words. Here’s what I expect: • Run the video through your preferred AI/OCR pipeline (OpenCV, Tesseract, Google Vision, or any reliable alternative) to pull out everything that looks like a name, phone number, or email address. • Clean the results so duplicates or obvious false positives are removed. • Deliver a single Excel sheet with clear columns for Name, Phone Number, Email Address, plus any other relevant field you detect. If a contact is missing one of the fields, leave the cell blank rather...

...Implement synthetic multispectral data generation Build and train the spectral teacher model Implement the dual-path CNN with band-wise attention Extract teacher logits for distillation Build and train the RGB student model using knowledge distillation Provide evaluation metrics (accuracy, confusion matrix) Deliver clean, well-documented code Tech Stack Requirements Python PyTorch NumPy OpenCV (basic) Matplotlib / Seaborn (for plots) GPU-friendly implementation preferred Deliverables Complete source code (well-structured) Synthetic dataset generation script Trained teacher and student models Training logs and evaluation results Brief README explaining how to run the project. Please apply only if you are comfortable implementing custom CNN architectures and kno...

I have a collection of scanned images from physical product stickers and need a machine-learning solution that can reliably spot the product codes printed on them. The scans vary slightly in lighting and angle, but resolution is consistent. Here’s what I need: • A trained model (deep-learning OCR or a custom computer-vision pipeline with TensorFlow, PyTorch, OpenCV, or equivalent) that extracts product codes from each image and outputs them in a structured format such as CSV or JSON. • An inference script I can run locally to process new scans in batches. • Brief documentation that explains setup, dependencies, and how to retrain if I add more sticker samples. Acceptance will be based on: • 95 %+ recall on a held-out test set I provide. • Corre...

I need a lightweight mobile application that can automatically locate faces in both photos and live video, running smoothly on iOS and Android. The core detector must be YOLO; however, you’re free to combine it with OpenCV or MediaPipe for preprocessing or post-processing as long as overall inference stays fast on mid-range devices. The front end can be built in Flutter or React Native—whichever lets you reach 60 fps video preview without draining the battery. A minimal, clean UI is enough: pick an image from the gallery, record or stream video, and immediately see bounding boxes appear in real time. You will train or fine-tune the model yourself, document the training pipeline, and include the final weights in the repo. Optimisation for size and speed (quantisat...

...Signatures and long free-text → image storage only (OCR optional) UI Expectations One of the following is acceptable: - Desktop application (Windows preferred), or - Web-based internal tool (local or on-premise) Minimum UI features: - Template management - Scan upload (drag & drop) - Result list with ROI preview - CSV export Technology (Developer Proposal Welcome) - Image processing: OpenCV - QR detection: OpenCV / zxing / pyzbar - OCR: - Local OCR + optional commercial/cloud OCR fallback preferred - Language: Python preferred - Database: SQLite (initial) Accuracy, robustness, and explainability are more important than novelty. Deliverables 1. Working application 2. Full source code 3. Template data structure documentation 4. Sample output (CSV) 5. Setup ...

■　The application will be able to: •　Read construction drawing files in PDF format •　Automatically detect and recognize objects in the drawings, such as: Walls Columns Beams (and other architectural/structural elements) Convert the recognized objects into a DXF file that can be opened and edited in JWCAD...drawings in PDF format -　Output: DXF file compatible with JWCAD ■　AI Capabilities: • Accurate object detection and classification • Maintain correct scale and geometry • Export objects into proper layers (e.g. walls, columns, beams, etc.) ■　Technical Expectations: • Use of Computer Vision / Machine Learning • PDF parsing (raster & vector-based) • DXF generation • Possible tools/technologies: Python OpenCV TensorFlow / PyTorch Dete...

...a working concept for a small wearable that must recognize hand-based gestures in real time and transmit them as standard Bluetooth HID events. The core of the job is to build and refine the OpenCV pipeline that does the vision-side gesture detection, then link those recognised gestures to the device’s Bluetooth stack so they appear to the host (phone, tablet, PC, or headset) exactly like native keyboard, mouse, or media-control inputs. The prototype board already exposes a camera interface, basic MCU, and touch-sensing pads for additional context cues. Your task is to: • implement and tune the OpenCV routines for robust gesture detection under varied lighting • integrate the recognition results into the existing Bluetooth HID profile, mapping each gest...

...(preferred) Libraries: OpenCV, PyMuPDF / pdf2image, NumPy (or equivalent) DPI handling (300–400 DPI) Deskew / preprocessing for scanned PDFs Batch processing (folder-based) Clean, reusable, well-structured code Nice to Have (Bonus): Config-driven ROI (JSON instead of hardcoded values) Logging (success / failure) Debug images for failed cases Ability to handle multiple pages if page 1 fails What I Will Provide: Sample scanned PDFs Clear expected output examples Feedback during development Who Should Apply: You have real experience with image processing You understand scanned documents (not OCR-only solutions) You can deliver working logic, not just demo scripts Do NOT apply if: You only work with text-based PDFs You rely only on OCR You have no Open...

...triggering anti-cheat alarms. • Works from live screen capture or memory read—whatever is safest and most reliable for this game. • Change detection must be fast enough to ping me before the tactical advantage is lost; near-real-time is ideal. • Alerts can be as simple as a console line, log file, or small popup, provided the lat/long pair is clearly shown and timestamped. • I’m fine with OpenCV, Python, C++, or another proven stack, as long as setup is straightforward. Deliverables once we’re done 1. The compiled tool plus full source code 2. Brief read-me for install, config, and how to adjust colour thresholds 3. A short video or GIF demonstrating it catching a terrain-colour change and printing the coordinates If this soun...

...autonomously • Build and/or use maps (SLAM) • Avoid obstacles • Capture images and follow predefined paths • Integrate LiDAR, cameras, and onboard computing Required Skills (one or more) • ROS / ROS2 • Python and/or C++ • Autonomous navigation, SLAM • LiDAR and camera integration • Ubuntu / Linux •. UWB • Embedded platforms (Jetson, Raspberry Pi) Nice to Have • Computer vision (OpenCV, basic ML) • WebRTC or robot networking experience • Experience deploying robots in real environments (not simulation only) Project Type • Freelance / contract • Flexible hours • Long-term collaboration possible • Budget based on experience and contribution Deliverables •...

I need a browser-based application that marries interactive data dashboards with an AI-driven recommendation engine...them live as new predictions arrive • Dockerfile or equivalent to reproduce the full environment locally • Brief setup guide and model performance report Acceptance criteria – Top-N recommendations returned in <200 ms under typical load – Visualisation layer renders without errors on modern browsers (Chrome, Firefox, Edge) – Code passes linting/tests and installs with a single command OpenCV or other image-processing tools are welcome if they streamline feature extraction, but they’re optional. I’ll share sample data and further API details once we start; everything else above should give you a clear picture of t...

...scans, and deeply nested tables are the norm here, so every stage—pre-processing, recognition, post-OCR validation, and normalization—needs to be engineered for resilience. The core information I must capture on every document is clear: item details, pricing information, and shipping details. Whatever approach you prefer—Tesseract, AWS Textract, Google Vision, computer-vision preprocessing with OpenCV, or a custom deep-learning model—what matters is that the final output is consistently accurate and delivered through a reproducible workflow (CLI script, API, or microservice). This is a long-term build. I’ll need you available 3–5 full days each week, communicating promptly and sticking to deadlines we agree on. In return, there’s room f...

...must lock on to faces accurately, track expressions, match lighting and color, and render the composite at a stable frame rate suitable for streaming or studio recording. The core pipeline should include high-resolution face detection, landmark tracking, real-time inference with a modern GAN or transformer model, and seamless blending. Feel free to lean on CUDA-accelerated TensorFlow or PyTorch, OpenCV for image I/O, and any efficient post-processing libraries you trust—what matters is rock-solid performance and visual fidelity. I want the interface to be simple: a preview window, a slot to load or capture the target face, quick toggles to enable/disable tracking, and an option to record or pipe the output to a virtual camera device. Please keep the build truly native (Qt...

...products • Frequent glancing around • Lingering in an area for too long By tracking hand, head and eye direction the system should outperform human observers and keep false positives low. It will be deployed across supermarkets, boutique stores, electronics stores and must remain adaptable to any other retail layout without requiring new cameras. The workflow I have in mind: incoming feed → OpenCV (or equivalent) preprocessing → deep-learning model (YOLO, Detectron2, TensorFlow/PyTorch—whichever you favour) → real-time overlay that highlights the suspect and pops a visual alert in the guard’s monitoring software. No audible alarm is needed right now. Deliverables 1. Trained model and reproducible training pipeline 2. Low-latency i...

...prompts and click according to the prompt, and loop through the entire skilling routine without supervision. Your experience in automating browser games—especially 2D or canvas-based titles—will be the deciding factor. Please explain the relevant projects you have completed, the tech stack you prefer (e.g., Python with Selenium or Playwright, JavaScript userscripts, computer-vision tools such as OpenCV), and any methods you use to keep scripts undetectable. Deliverables • A working, documented bot that runs the chosen crafting loop from start to finish • A simple configuration file or UI so I can switch items and quantities on my end • Source code and a quick-start guide so I can maintain or extend the script later I will test by letting the bo...

...cropped sequences to an emotion head, and output the same five-class predictions. After training on the videos, compare accuracy, F1, and real-time throughput. Once the stronger approach is confirmed, deploy it for live testing (webcam or external camera) so emotions can be displayed or logged in real time. Deliverables must include: – Clean, reproducible code (Python; TensorFlow or PyTorch; OpenCV where needed) – A concise report detailing architecture choices, hyper-parameters, evaluation metrics, and the head-to-head comparison – A lightweight deployment script or notebook that runs on a standard laptop and shows live predictions at usable FPS Acceptance is based on: minimum 80 % overall accuracy on a held-out set, real-time inference ≥10 FPS, and...

...missing piece is reliable on-screen number recognition. The goal is simple: have a Python script watch a defined region of the browser, read whatever number appears there in real time, and pass that value back to my existing bot so it can act automatically. Here’s how I picture it working: the script captures the target area (Selenium or Playwright to keep everything inside the browser, plus Pillow/OpenCV if a raw screenshot is easier), runs OCR (pytesseract or a more accurate alternative if needed) to convert the image to a clean integer, then returns that integer via a lightweight API call or direct function import—whichever integrates best with the rest of my codebase. It must be fast enough for live interaction, handle common anti-aliasing/font changes, and be re...

...(bonus) Database / Auth • Supabase (Postgres + Auth) • Policies, Row Level Security (RLS), roles, permissions • Building secure database schemas for assessments, video uploads, analytics, user journeys AI & ML • OpenAI GPT-4/5 APIs – prompts, scoring algorithms, multi-step reasoning workflows • OpenAI Whisper – audio transcription • Experience working with video or facial-analysis ML models o (Bonus: OpenCV, MediaPipe, DeepFace, or custom inference pipelines) Storage • Cloudflare R2 or S3-compatible storage • Handling video uploads, signed URLs, secure access Integrations • Email, notification, and basic automation • Admin analytics dashboard • Report generation (PDF/HTML-based dynamic reports) Deployment &bul...

I am looking for a developer to enhance live camera image capture functionality. The task involves improving the quality of captured images from a live camera feed and seamlessly sending these images to an existing model for prediction. Key...real-time image enhancement techniques (e.g., brightness, contrast, noise reduction). - Ensuring smooth integration with the prediction model by formatting the captured images as required (e.g., base64 or tensor format). - Providing clean, well-documented code and guidance for future modifications. Ideal Skills and Experience: - Strong experience in real-time image processing using frameworks like OpenCV or TensorFlow.js. - Familiarity with WebRTC or similar technologies for live camera feeds. - Proficiency in integrating APIs or models for pr...

...every facial detail untouched. The AI must: • Offer hairstyle changes across all lengths: short, medium, and long. • Switch clothing between casual wear, formal wear, and sportswear. • Layer accessories (hats, glasses, jewelry, etc.) realistically on top of the new style choices. I’m open to whichever stack you feel is best, but experience with computer-vision frameworks (e.g., MediaPipe, OpenCV), diffusion or GAN-based image synthesis, and a modern web front end (React, Vue, or similar) will be essential. The finished site should run smoothly in a standard browser, allow drag-and-drop photo upload, and return high-resolution previews in seconds without distorting the user’s face. Acceptance criteria 1. A responsive web app hosted on my domai...

...on-board screen so operators can glance at the current clearance in real-time. Key technical points • Camera-to-wire distance is roughly 1.5–3 m, camera looks upward. • System must stay reliable during high-speed movement; vibration filtering and frame-to-frame stabilisation are critical. • Implementation language is Python. Use the RealSense SDK plus any computer-vision libraries you need (OpenCV, NumPy, etc.). Deliverables 1. Well-documented Python script(s) that: • auto-detect and initialise either the D435i or D455, • compute the contact-wire height every frame, • display the result live, and • append <timestamp, height_mm> to a CSV file. 2. Calibration routine or config file so the system can ...

...Core scope • Wire up the vendor-supplied hardware SDK so the application can discover the device, initialise it, and pull raw frames or encoded streams as documented. • Use Windows-friendly camera APIs (e.g., Media Foundation, DirectShow, or a proven wrapper) for live preview and capture. • Apply video processing routines—stitch multiple feeds, run stabilisation, then encode to H.264/H.265. OpenCV, FFmpeg, or similar libraries are welcome as long as licences remain redistribution-friendly. • Follow the official API documentation to expose every supported feature; I will provide PDFs and sample code from the vendor. Acceptance criteria 1. A Visual Studio project that compiles in Release x64 without external tweaks. 2. Real-time preview of t...

Hello, We are l...photo upload module AI-based background removal (white background) Auto crop & resize to passport photo size (country-wise support preferred) Compliance checks such as: Front-facing face detection Head position & face centering Blur & image quality check No shadows / objects in background Eye visibility & neutral expression Auto feedback if photo is not compliant Tech Preference: Python (OpenCV, MediaPipe, TensorFlow / PyTorch) Experience with Computer Vision & Face Detection API-based or self-hosted ML models This is a paid project and can start with an MVP, with long-term collaboration possible if work quality is good. Please share: Your relevant experience Similar projects (if any) Estimated timeline & cost Looking for...

...complete The end product should flag every defect you detect, highlight it on the image, and summarise the findings check our sample report in Word Defect detection is the sole focus; no other image analytics are required. I’m open to the tech stack, but please use proven computer-vision tools such as Python, OpenCV, PyTorch or TensorFlow so I can retrain or extend the model later. Deliverables • A trained model capable of detecting the stated defects with practical accuracy • A lightweight interface or script that lets me upload images in bulk and receive the compiled report automatically • Source code and brief documentation so I can run the system on my own machine Acceptance criteria Full working

...analysis (no heavy ML training): * Head stability * Bat downswing angle * Front-foot position * Results screen with clear feedback * Local storage of analysis results * Light Firebase integration (Auth + subscription flag only) Required Skills Must-have: * Strong experience with Flutter * Hands-on experience with mobile camera/video handling * Practical exposure to Computer Vision * MediaPipe, OpenCV, or pose estimation * Comfortable working with on-device ML / CV * Ability to write clean, modular, maintainable code Nice-to-have * TensorFlow Lite / CoreML * Firebase (Auth, Firestore) * Sports-tech or fitness apps * Startup or indie-hacker experience --- Who This Is For * Developers who enjoy applied AI, not just theory * People who can simplify problems and move fast * ...

...phone usage detected during working hours” • Images and comments are stored securely for audit and review 5. Data Storage & Reporting • Centralized database for: • Activity logs • Time metrics • Image evidence • Dashboard with visual analytics (charts, timelines, heatmaps) • Exportable reports (PDF, Excel) for HR and management Technology Stack • AI Framework: PyTorch • Computer Vision: OpenCV, TorchVision • Models: YOLO, ResNet, LSTM/Transformer-based action recognition • Backend: Python (FastAPI / Flask) • Database: PostgreSQL / MongoDB • Frontend Dashboard: React / Power BI / Grafana • Deployment: On-premise or secure private cloud Security & Compliance • Role-based acces...

...Distance cutch subscriptions page with comments on the live games and advices by cutch paid service Payments gateway I have many HTML pages used by admin for analyses User will not see the Ai functionalities only get results The core tasks involve: • Sourcing or accepting my existing Opta-style event logs and 1080p video files • Designing or fine-tuning a model (Python, TensorFlow/PyTorch, OpenCV, or a comparable stack) that automatically detects players, ball events and positional context frame-by-frame • Converting detections into metrics such as sprint count, top speed, distance covered, dribble success rate, progressive passes, heat-maps and expected threat added from positioning choices • Packaging the outputs in a clean CSV/JSON plus a light...

My current Python-OpenCV pipeline on a Raspberry Pi 4 maxes out at 95 % CPU while running MobileNet-SSD object detection and pushing an RTSP feed. I need that load under 60 % without sacrificing the video quality. Efficient RTSP streaming is the top priority, and I want the camera feed to stay rock-solid at 1080p for higher resolution viewing. What has to happen: • Restructure the video pipeline so FFmpeg (or MediaMTX) handles RTSP efficiently, keeping latency low while sustaining full-HD frames. • Convert the Caffe MobileNet-SSD model to TensorFlow Lite, then thread or async the inference loop so it sits comfortably beside the streaming process. • Split CPU-heavy sections into separate threads or asyncio tasks, making sure OpenCV frame handling, model inf...

...available video frames and titles, later by ingesting live performance data so the model keeps refining itself. The workflow I have in mind is straightforward: I hand the service a video (or individual frames plus a title), it returns a ready-to-upload PNG/JPEG sized for YouTube, plus the underlying metadata so I can track which visual decisions drove results. Python with PyTorch or TensorFlow, OpenCV and a lightweight web API feel right, but I’m open to alternatives if they speed things up or improve accuracy. Deliverables I can easily plug into my channel management routine: • A trained, self-updating thumbnail generator accessible through a REST or CLI interface • All training scripts, model weights and a short README for retraining or fine-tuning &bull...

I need to add a reliable mask generator to my ANPR pipeline that pinpoints the license-plate region in still JPEG photographs. The task is limited to detection—no character recognition for now—so the model simply has to return an accurate bounding box or, ...you document all datasets and training steps. Reproducibility is key; I want to be able to retrain the model from scratch on my side. Deliverables (to be accepted): • Clean, well-commented Python code and • Trained weights (.pth, .ckpt, or .h5) • CLI script plus a minimal REST endpoint for batch inference • README explaining data prep, training, and inference commands OpenCV, PyTorch, TensorFlow, or Keras are all acceptable; pick whichever you are most comfortable with, and keep the dep...

I am looking for an experienced AI / Computer Vision expert to set up a real-time face swap tool on my PC for use during video calls (Zoom, Google Meet,...using one reference image Smooth frame rate and low latency Complete installation and configuration on my PC (Windows preferred) Easy to enable/disable during a call What I Expect from the Freelancer: Fully working setup installed on my PC All required dependencies installed and configured Basic instructions or demo on how to use the tool Strong experience in AI, face swap, computer vision, OpenCV, deep learning, or related fields Budget: Open to discussion (quality work preferred) Note: Only serious and experienced freelancers should apply. Prior experience with real-time face swap or video processing projects will be a...

...Bearing race Outer Diameter: ~32 mm Parts are static (manually placed) Inspection is top face only Lighting: Darkfield / Ring LED The goal is to detect surface defects (scratches, dents, marks) and give OK / NOT OK result. --- System Requirements Operating System: Windows 10 / 11 Camera: phone camera (via USB) Programming Language: Python (preferred) Libraries: OpenCV (mandatory), NumPy Live camera feed required --- Core Features Required Live Inspection Continuous live camera view Auto-focus / fixed focus support Adjustable exposure, gain, brightness Auto Capture Image should auto-capture when part is placed Trigger logic can be: Motion detection Image change detection Simple threshold method ...

...receive a folder of cropped and noise-added fingerprint fragments plus their full counterparts for validation. I am open to CNN-based inpainting, hybrid approach, AI and image processing—so long as the final output convincingly restores minutiae and passes a side-by-side comparison against the ground-truth scans. Please work in mainstream, well-documented libraries (PyTorch, TensorFlow or Keras, OpenCV, scikit-image) and keep the environment reproducible through a conda .yml file. Deliverables: • Fully commented Python scripts or notebooks • Trained model weights and instructions for inference on new scans • A concise README outlining setup, training, and evaluation steps • Quantitative report showing reconstruction quality (PSNR/SSIM or similar)...

...capabilities: – Image recognition from the camera feed – Voice commands parsed from the mic stream – Automated responses through the speaker and display alerts I’d like clean, well-commented source code, a simple way to deploy (Docker or a scripted install), and a short README that shows me how to start the firmware service and the monitoring app together. If you lean on familiar tools—OpenCV, TensorFlow Lite, or PyTorch for the vision side, and something like Vosk or SpeechRecognition for voice—it will speed things up, but feel free to suggest better options as long as latency stays low. Testing will be done on my own Pi 4 with the official camera module and a USB microphone, so please keep hardware assumptions minimal. Once I ca...

I need a small utility that runs alongside the MuMu emulator and takes over basic player navigation and walking inside Battlegrounds Mobile India. The goal is to automate point-to-point movement so...appreciated for verification. Acceptance criteria 1. Character walks the full set of supplied waypoints without stalling for at least five consecutive matches. 2. Average deviation from the intended path stays within a small in-game radius (≈3 m). 3. CPU usage inside MuMu stays reasonable so the emulator doesn’t lag. If you have prior experience with input injection, ADB scripting, AutoHotkey, Python + OpenCV, or similar techniques inside Android emulators, adapting that knowledge here should be straightforward. Once delivered and tested on my end, I’ll sign off and ...

...data for them must also be supplied in JSON so I can generate either static or interactive charts later. Key statistics that must appear in the output: 1. Player positions and movement traces throughout the match 2. Types of shots taken and whether they resulted in winners, forced errors or unforced errors 3. Rally durations paired with their outcomes Technology preferences are Python with OpenCV, YOLO-based detection, pose estimation for finer tracking, and GPU-accelerated processing on AWS or GCP (or a local CUDA setup if you prefer). A clean, well-documented codebase and brief setup script are part of the hand-off. When you reply, please show: • Examples of previous computer-vision or sports-analytics projects you’ve delivered • A concise outline of th...

...Automatic cropping and perspective correction High-quality scanned document output On-device processing (preferred for performance and privacy) Minimum 90% accuracy in document detection and edge alignment under real-world usage Expected Skills & Experience: Strong experience with Android development Prior experience building Android document scanner applications Expertise in TensorFlow Lite, OpenCV, or similar image-processing libraries Ability to share previous work, demos, or sample applications related to document scanning Developers who meet these requirements and can deliver a stable, high-accuracy document scanning solution for Android are invited to submit their bids along with relevant past work....

...horse is most perpendicular to the camera - Extract a standardised segment around this point (e.g., ±75 frames or ±2 seconds depending on FPS) - Exclude videos that do not contain enough valid frames after the perpendicular moment - Output the clipped video using the original file naming structure Ideal Skills and Experience: - Strong experience with computer vision and video processing (Python, OpenCV, ffmpeg) - Proficiency with object detection and segmentation frameworks (YOLO, SAM2, etc.) - Ability to compute and analyse per-frame motion metrics (centroid tracking, direction inference) - Understanding of pose/angle detection or geometric heuristics for “perpendicular” classification - Experience building efficient pipelines capable of batch-processi...

...recognised item. The scope is limited to pure image recognition and analysis—no text extraction, translation, or AR overlays at this stage. You’ll design, train, and integrate the object-detection model, then connect it to a lightweight information layer that surfaces concise descriptions, specifications, and any metadata I provide. Whether you prefer Google Cloud Vision, TensorFlow, PyTorch, OpenCV, or another modern framework, the end result must run quickly and accurately on a mobile device or web backend. Deliverables I need to see: • A working prototype (Android, iOS, or web) that draws bounding boxes around detected objects/products and shows the corresponding info panel • Model files, inference code, and clear documentation so I can retrain with ...

...run a visual search, browse results filtered to a chosen region (nation-wide scope), and optionally sign in to save searches or set alerts. Key pieces I am expecting from you: • A clean, fast front-end (React, Vue or similar) that scales down gracefully to small screens. • A back-end service (Python-Flask, Node, or comparable stack) that handles image ingestion, runs a similarity algorithm (OpenCV, TensorFlow, or a cloud vision API), and queries the product database. • Image storage that supports quick retrieval—S3, Cloud Storage or local volume during development. • Country-level location filtering so results respect the user’s selected region. • An optional user account layer—OAuth or email signup—so people who log in c...

...center of the reel and send a precise automatic 'Stop' command. • The program must be able to stop the MINI, MINOR, MAJOR, and GRAND tokens. Key points to consider for the program: • Performance is critical: the symbols fall quickly, so latency from capture to the stop action must be minimized. • Multithreading to avoid latency and freezes. • Use any support library you want (for example, OpenCV, NumPy, Torch) as long as the setup remains a single command through requirements.txt. Deliverables 1. Fully documented Python source code. 2. A README with setup steps, configurable parameters (for example, grid size, hotkey assignments), and troubleshooting tips. 3. Demo video and live session showing that the tool stops in time. Acceptance criter...

...images that come paired with captions or other textual metadata, and I need a concise, well-structured Python solution that lets me analyse both components in one pass. The image side will involve standard loading and preprocessing; the text side must run sentiment analysis, text classification, and targeted data extraction on the accompanying words. Feel free to tap into familiar toolkits such as OpenCV or Pillow for the visuals, and spaCy, NLTK, or Hugging Face transformers for the NLP work—whatever you are most productive with, as long as the dependencies are clearly listed in a requirements.txt. Deliverables • A modular Python script (or Jupyter notebook) that ingests a folder of images plus their text, cleans and prepares each modality, and produces:  1...

...gatekeeper should be biometric authentication: Face ID or Touch ID, depending on the hardware the user has available. At launch the flow must feel effortless—open the app, present a face or fingerprint, and land on a dashboard showing current balance, growth rate, and a simple button to add or withdraw funds. Under the hood you are free to pick the most reliable open-source libraries (for example OpenCV or libfprint) as long as the recognition step is fast and the data never leaves the user’s machine unencrypted. Because I’m working on a tight timeline, I’m hoping to see tangible progress right away and a first runnable build as soon as you can ship one. You’ll impress me most if your proposal highlights previous Linux desktop apps you have deliver...