How Are Digital Video Processing Developers Transforming the IT World
How digital video changes the world? Read about the latest trends, popular video processing tools, programming languages using for video editing etc.
...match result / confidence score * Ideally support multiple faces in one image * Store facial embeddings/templates efficiently * Fast response and suitable for many enrolled users * Simple REST/API interface using POST requests * Provide PHP example code for sending images and receiving JSON response * Full source code and installation instructions You may use suitable technologies such as Python, OpenCV, ONNX, InsightFace/ArcFace, FAISS or other appropriate open-source solutions. We are **not asking to create an AI model completely from scratch**. Using and configuring suitable existing pretrained models/libraries is acceptable. The final solution must operate independently on our server without any mandatory per-image or monthly facial-recognition subscription. When bidding,...
I need a Windows application to automate a PS5 user-switching workflow shown in my video. The software should use an HDMI capture card and computer vision (OpenCV/template matching/OCR) to detect what is currently displayed on the PS5 before performing each action. I do NOT want a simple fixed-delay macro. Workflow: Private Match → PS5 Control Center → Profile → Switch User → select next pre-added profile → return to the game → handle “Your profile was signed out” if shown → wait for “Downloading Game Settings” to finish → verify Private Match is loaded again → automatically repeat with the next profile. The developer must also provide a reliable method for the Windows PC to send controller inputs to the PS5, in...
...down the final feature set yet, so I’m open to your recommendations on whether to prioritise real-time alerts, historical data analytics, or seamless links to third-party platforms. What matters most is accuracy across various lighting and weather conditions and a design that lets me scale from a single roadside camera to a multi-site installation later on. If you have previous deployments on OpenCV, YOLO, TensorFlow, or similar computer-vision stacks, let me see them. Latency benchmarks or side-by-side comparisons with commercial services are a plus. Deliverables • End-to-end ANPR software (source code + install docs) • Configuration guide for cameras and optimal capture settings • REST or WebSocket interface for external systems • Brief rep...
...categories of information pulled out: • the dates and amounts that appear on every page • the full itemised lines (description, quantity, unit price, line total) Customer names or addresses are not required this time, so the workflow can stay tightly focused on these data points. Ideally you will set up an OCR pipeline—Tesseract, ABBYY FlexiCapture, Amazon Textract, or a custom Python script with OpenCV—anything you are comfortable with that gets reliable accuracy. The final output should land in a neatly structured CSV or Excel workbook that I can import straight into my accounting software. Acceptance criteria • ≥ 98 % field-level accuracy on a random 50-document sample • Consistent column order: Document ID, Date, Amount, Line Ite...
...white-black and yellow-black styles, private and commercial plates). 2. Read the characters on that cropped plate and return the exact registration number as clean text so I can write it straight to my database. The current codebase is independent of language for this new feature, so you are free to deliver a self-contained DLL, EXE, or a callable script—provided it runs reliably on Windows. OpenCV, Tesseract, EasyOCR, YOLO, or similar toolkits are fine as long as they give me accurate results on Indian plates under varied lighting. Acceptance will be based on: • Minimum 90 % recognition accuracy on a sample set of 500 real-world Indian plate images I will supply. • API or command-line call that receives the original JPEG path and returns the detected number...
...character with a blank face. Your task is to add the “upload your own face” feature and make it work seamlessly on both our mobile app and the web version. A user should be able to snap or upload a photo, see their face mapped onto the character across the entire clip, then save or share the final video straight to TikTok, Instagram, and Facebook. Key deliverables • A reliable face-swap engine (OpenCV, MediaPipe, DeepFaceLab, or comparable) integrated with my existing MP4 template • Front-end flow for photo capture/upload, preview, and progress feedback on web and in the mobile build • Fast render pipeline (FFmpeg or equivalent) that keeps audio, stays under 50 MB, and finishes in under 10 s for a 30-second clip • Direct sharing hooks for ...
...white-black and yellow-black styles, private and commercial plates). 2. Read the characters on that cropped plate and return the exact registration number as clean text so I can write it straight to my database. The current codebase is independent of language for this new feature, so you are free to deliver a self-contained DLL, EXE, or a callable script—provided it runs reliably on Windows. OpenCV, Tesseract, EasyOCR, YOLO, or similar toolkits are fine as long as they give me accurate results on Indian plates under varied lighting. Acceptance will be based on: • Minimum 90 % recognition accuracy on a sample set of 500 real-world Indian plate images I will supply. • API or command-line call that receives the original JPEG path and returns the detected number...
...orchestration. Experience with AWS and/or GCP. Experience with Docker, CI/CD, logging, monitoring, and alerting. Strong understanding of data quality and automated testing. Experience maintaining and improving production datasets over time. Understanding of responsible and lawful web data collection, including , terms of service, privacy, and applicable data protection requirements. Good to Have OpenCV and image processing NLP / NER LLM-based document extraction Multilingual OCR Indian regional language OCR Entity resolution / record linkage Data lineage and provenance Great Expectations, Soda, Pandera, or similar dbt and dbt tests BigQuery AWS S3, Lambda, Batch GCP Cloud Storage Distributed/batch processing Experience with government, legal, financial, regulatory, or public-sect...
...OCR * Emirates ID MRZ reading * UAE identity documents * UAE passport/ID document recognition * Government identity document OCR * KYC / identity verification systems will be given preference. ## Android Integration The solution must be suitable for integration into our existing **Android application**. Preferred experience: * Android / Java / Kotlin * Camera-based document capture * OpenCV or equivalent image-processing libraries * OCR SDK/API integration * On-device ML/OCR * MRZ parsing and validation The solution should preferably support **on-device processing** if accuracy and performance are acceptable. Cloud/API-based solutions can also be considered if they provide substantially better accuracy and acceptable response time/...
...added later, so please structure the solution with easy extensibility in mind. The workflow I have in mind is straightforward: drop a folder (or send an API call) and receive a concise report that flags any file whose colours drift beyond an acceptable Delta-E or similar metric, along with a summary CSV/JSON and an optional visual overlay for quick human review. Popular libraries such as Python, OpenCV, Pillow or TensorFlow are welcome if they speed development, but I am open to alternative stacks provided setup remains frictionless on Windows and Linux. Deliverables • Source code or notebook implementing the evaluator • Clear installation and run instructions • Sample report generated from a small test set I will provide • Brief README explaining ho...
...calculate the optimal moves, and execute them until the level is cleared. Immediately after, if an ad appears, it must locate and tap the “Skip” or “Close” prompt as soon as it becomes active. I would like the solution built natively for Android; Kotlin or Java is fine as long as the final APK performs smoothly on recent versions (Android 11+). If computer-vision libraries such as ML Kit or OpenCV help with board recognition, feel free to use them. Anything that reduces battery or CPU usage is a plus.(tell me if u think another code wold suit Because this is an evolving personal tool, I will want to jump on quick voice calls (Discord or similar) and get progress builds at agreed checkpoints—clear English communication is essential. Acceptance c...
I’m building an AI-powered handwriting studio that turns plain-text notes into print-ready PDFs that fool the eye into thinking they were written by hand. The ...handwriting families, built for easy expansion • Configuration interface for all font customisation controls • Documentation plus a short demo video showing the workflow end to end Acceptance criteria Given a 200-word sample note, at least 8 out of 10 blind testers must say the printout looks genuinely handwritten. If you’ve worked with diffusion models, GANs, stroke-based synthesis, or OpenCV texture overlays, highlight that experience—those techniques appear well suited for the realism I’m after. A proof of concept two weeks from kickoff would be ideal, followed by a polished re...
I need an Android application that links to an external camera mounted inside a beehive, analyses the live feed with colour-based recognition and instantly warns me whenever the queen comes into or drops out of view. The workflow is straightforward: the app receives the video stream from the external camera, processes each frame locally (OpenCV or TensorFlow Lite are fine), isolates the queen by the distinctive colour mark on her thorax, then triggers real-time alerts through push notifications and an on-screen banner. A simple dashboard should show the live video with an overlay around the detected queen and log each event with a timestamp so I can review activity later. Deliverables • Full Android Studio project (Java or Kotlin) with clean, documented code • Trai...
I need a...most to me: • A well-trained object-detection model tailored to photographic input (no illustrations or charts in the mix). • Consistently higher precision and recall than my existing baseline; lowering false positives is more valuable than sheer speed. • A self-contained script (Python preferred) that can run headless on Linux, making use of familiar libraries such as PyTorch, TensorFlow, or OpenCV—whatever you feel will maximise accuracy. • A concise README that explains installation, inference commands, and how to tweak confidence thresholds. I will supply an initial, labelled photo set for training and a separate, hidden validation set for final evaluation. If your model meets or exceeds the benchmark metrics on that blind test, the j...
...obstacle awareness: fetch depth or stereo data (or infer depth with AI) so the user is warned about hazards at cane-length distance or overhead. • Extensible add-ons: hooks for voice commands, emergency SOS, text reading, object recognition, or any future computer-vision module. I already have access to sample hardware (camera-equipped glasses and a tactile band), so you can prototype quickly with OpenCV, TensorFlow Lite, PyTorch Mobile or a stack you prefer. What I really need is the architecture, clean code, and demonstrable logic that meld everything into a smooth UX. Deliverables 1. Source code with clear documentation and build/run instructions 2. A runnable demo (APK, executable, or Web build) that proves indoor & outdoor navigation on my test routes 3. A...
...should be downloadable as a high-resolution: * JPG/JPEG * PNG Ideally, image quality should be sufficient for: * Clinical documentation * Presentations * Publications * Before-and-after comparisons ## AI / Technical Approach I am open to recommendations regarding the technology. Possible technologies include: * OpenAI Vision API or another vision model for photograph classification * Python * OpenCV * Pillow * React / or similar web frontend * Face/dental landmark detection if helpful **I am not looking for generative AI to modify or recreate the patient's teeth or face.** AI should primarily be used to **recognize, classify, orient, and assist in positioning the original clinical photographs**. ## Privacy / Security Because these are patient clinical photographs...
OpenCV Developer Required – Fabric Shrinkage Measurement We are developing a fabric shrinkage measurement machine for knitted and woven fabrics. Requirement - Fabric size: 700 × 700 mm - Marked area: 500 × 500 mm - Fixed camera above the table - Camera: MindVision MV-GE502C/M, 5 MP - Detect 4 or 8 fabric marks automatically - Measure length and width - Compare with original 500 × 500 mm measurement - Calculate length and width shrinkage % - Required accuracy: ±0.5 mm - PC-based software using Python + OpenCV Software Required - Camera integration - Automatic mark detection - Pixel-to-mm calibration - Length and width measurement - Shrinkage % calculation - Simple user interface - Save measurement results Important The software must work w...
...fonts or broken links. I’m after a push-button workflow (Windows executable, CLI tool or Corel macro are all fine) that lets me drop an image in and receive the editable CDR instantly. Speed matters—I’d like the first working build delivered ASAP and we can refine edge cases (complex patterns, gradients, foil effects) after that. When you reply, please outline the tech stack you’d use—e.g. OpenCV, Potrace, custom vectorisation, CorelDRAW API—plus a short plan for handling texture and logo detection. I’ll test your build on three sample jerseys; if everything edits cleanly in Corel, we’re good to go and can discuss long-term enhancements. and i want to make it licenseable like i need a software which generate license key for eve...
...─────┐ │ Interface (Python / Tkinter) │ │ Flux vidéo · Multi-aperçu · Paramètres │ │ Visages connus · Base de connaissances │ └───────────────┬───────────────────────────┘ │ ┌───────────┼────────────┐ │ │ │ ┌───▼───┐ ┌────▼────┐ ┌───▼────┐ │Détecteur│ │ Tracker │ Visages │ │(OpenCV) │ │(Python) │ │ (LBPH) │ └───┬───┘ └────┬────┘ └───┬────┘ │ │ │ └───────────┼────────────┘ │ ┌───────▼────────┐ │ Noyau C++ │ │ (distance_core) ...
...premium UI/UX designs using React, TypeScript, Vite, Tailwind CSS, and modern component libraries. - Build interactive websites with cinematic animations, 3D effects, micro-interactions, glassmorphism, and modern design systems. - Integrate APIs and services such as Google Maps, Firebase, authentication, databases, and AI APIs. - Develop computer-vision and machine-learning solutions using Python, OpenCV, YOLO, ResNet, MediaPipe, and related technologies. - Design secure architectures with authentication, RBAC, multi-tenant isolation, database security, and scalable backend systems. - Build and improve projects from idea → UI/UX → development → testing → deployment. - Debug existing applications, resolve frontend/backend issues, optimize performance, and elimi...
I’m building an in-house setup that measures fabric length, width and overall size straight from a live camera feed. I already have the camera hardware in place; what I’m missing is a reliable Python solution—preferably based on OpenCV or a similarly robust library—that can: • Detect the edges of the fabric in each frame, • Convert pixel counts to real-world units using a reference marker, and • Return clear text output with the exact dimensions for every sample we capture. Accuracy is critical; the readings need to stay consistent even if lighting shifts slightly or the cloth pattern varies. A short calibration routine at start-up is fine as long as it’s quick and repeatable. Deliverables 1. Well-commented Python code (stand-alone...
... OCR results Save settings Software Requirements C++ OpenCV Ubuntu Linux NVIDIA Jetson TensorRT (preferred) ONNX Runtime (optional) Tesseract/PaddleOCR Deliverables Complete source code Build instructions Installation guide User manual Documented code Camera configuration Test dataset Sample results Deployment support Acceptance Criteria Runs on Jetson Orin Nano Reliable OCR under controlled lighting Near real-time processing Modular architecture Future Opportunities Successful completion may lead to follow-on projects in barcode reading, AI inspection, robot guidance, PLC communication and multi-camera vision. Proposal Requirements Relevant experience OCR references Jetson/OpenCV experience Timeline Commercial quotatio...
...integration into our existing codebase. **Deliverables:** * Fully annotated and balanced Roboflow dataset (including train/val/test splits and augmentations). * Trained model files with evaluation metrics ($mAP@0.5$, Precision, Recall). * Python integration script/documentation for testing on sample video streams. **Required Qualifications:** * Proven experience with Roboflow, YOLO (v8/v11/NAS), OpenCV, PyTorch, and TensorFlow. * Solid track record in fine-grained object detection and handling small-object vision tasks. * Prior experience in safety/PPE compliance projects is a strong plus. ---...
...Interface Ideally this would operate through a simple bot or web interface. Example: **Choose template → enter requested fields → generate → receive completed label** The exact interface isn't particularly important as long as the process is quick and reliable. ### Important requirements The developer should be comfortable with: - Python or another suitable language - Image manipulation (Pillow/OpenCV/etc.) - PDF/image generation - Barcode generation and encoding - Dynamic text placement - Matching fonts, spacing, sizing and alignment - Working from visual/reference examples - Building a simple bot or web interface - Producing high-resolution output suitable for printing Barcode knowledge is particularly useful, as some values will need to be correctly...
I have a folder that fills up every minute with fresh JPEG screenshots. Each image contains both text labels and numerical readings that I need captured in the exact order they arrive. Here is what I need built: • A lightweight desktop or command-line app (Python + Tesseract OCR, OpenCV, or any equally reliable stack is fine) that watches a chosen directory and, as each JPEG appears, extracts the visible text and numbers. • The extracted items must be written to an .xlsx file in real time, placing all detected text in one column and the corresponding numbers in the next column so the dataset lines up row by row. • As the file grows, the workbook should automatically maintain a simple trend chart that plots the numerical column against timestamp (or row index)...
...want to hit—virtual mouse events, configurable hot-keys and an on-screen overlay for feedback—but I need an experienced developer to design and train the hand-gesture recognition pipeline, wire it into the operating system (Windows first, cross-platform later), and leave me with clear documentation so the tool can be maintained and expanded. You’re free to pick the tech stack that suits you best; OpenCV, MediaPipe, TensorFlow, PyTorch, or a combination are all fine so long as the final executable runs locally without cloud dependence. Deliverables • A compiled desktop application (or installable Python bundle) that recognises at least five distinct hand gestures and maps them to system actions • A simple GUI for calibrating the camera, adjusting se...
...Processing Matrix camera API documentation and RTSP details will be shared after discussion. Demo Dashboard Requirements A simple web dashboard should include: Live Camera View AI Detection Overlay Event Alerts Event History Detection Screenshots Camera Management (Basic) Dashboard Statistics A polished UI is preferred but not mandatory for the demo. Preferred Technology Stack Python FastAPI YOLO OpenCV TensorFlow or PyTorch React.js PostgreSQL Docker Ubuntu Linux NVIDIA GPU Support (CUDA) Equivalent technologies are acceptable if performance and scalability are maintained. Future Scope If the demo is approved, the selected developer/team will continue with the complete platform development, including: Face Analytics Safety Analytics Vehicle Analytics Object Analytics A...
...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 coordinates into drawable vectors or cursor positions ...
...is present. • Isolate tattoos, scars or other body markings that might confirm identity. Because I’m not certain whether my copy is the original, you’ll likely begin by checking its compression level and, if needed, guiding me on how to secure a higher-quality export from the camera or DVR. From there you can apply your preferred workflow—Topaz Video AI, DaVinci Resolve, Neat Video, custom OpenCV scripts, whatever combination you trust—to stabilise, upscale, denoise and sharpen each frame. Deliverables 1. An enhanced version of the full video in a common lossless or visually lossless format. 2. A side-by-side or split-screen comparison clip so I can judge improvements at a glance. 3. High-resolution stills of any frames where faces or body m...
...Strengthen and extend the Django REST backend, ensuring it cleanly exposes services consumed by the mobile apps and Vue interface. • Stand up and theme the WordPress instance so it lives side-by-side with the main site while sharing authentication and analytics. AI scope The vision component relies on TensorFlow. You will refine datasets, retrain the model, and package it for inference. OpenCV utilities are already wired for real-time image preprocessing; tuning and optimisation will be part of the job. Cloud & DevOps All services are containerised. Dockerfiles exist but need consolidation and security hardening. Final deployment runs on AWS EKS, so a solid grasp of Kubernetes objects, Helm and CI/CD (GitHub Actions preferred) is required. Mobile touchpoints ...
...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 clip selection—no dull filler • Clean branding: my logo sting at open/close, lower-third for athlete names when visib...
... OCR results Save settings Software Requirements C++ OpenCV Ubuntu Linux NVIDIA Jetson TensorRT (preferred) ONNX Runtime (optional) Tesseract/PaddleOCR Deliverables Complete source code Build instructions Installation guide User manual Documented code Camera configuration Test dataset Sample results Deployment support Acceptance Criteria Runs on Jetson Orin Nano Reliable OCR under controlled lighting Near real-time processing Modular architecture Future Opportunities Successful completion may lead to follow-on projects in barcode reading, AI inspection, robot guidance, PLC communication and multi-camera vision. Proposal Requirements Relevant experience OCR references Jetson/OpenCV experience Timeline Commercial quotatio...
...any part of it has been tampered with or otherwise altered. The clip is the only source file available, so I need a full forensic sweep that covers frame-level inconsistencies, audio-video sync issues, metadata irregularities, compression artefact patterns, and potential deepfake traces. Please use whatever combination of industry tools you feel is most reliable—AI-based deepfake detection, OpenCV scripting, FFmpeg metadata extraction, or specialist suites such as Amped or InVID—as long as the methodology is transparent and reproducible. Deliverables I expect: • A concise written report explaining each test performed and the resulting evidence of authenticity or manipulation. • Visual or time-coded annotations (screenshots or a copy of the vide...
Project: Mobile app prototype built in Unity for a phygital learning product. The app will interact with simple physical inputs (camera inputs that are processed using OpenCV for Unity) and communicate with a small hardware module. Scope: Develop a functional prototype demonstrating: Basic character animations Simple computer‑vision detection of physical markers (OpenCV, no ML) Communication with an ESP32 over WiFi (sending simple commands) One basic learning interaction module Lightweight UI (start screen + simple flow) Requirements: Strong Unity experience (Android build required; iOS later) Experience with OpenCV or similar CV libraries Experience integrating Unity apps with external hardware (WiFi/serial messaging) Clean, modular code structure suitable for f...
...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 estimation * ArduPilot / PX4 i...
I want to drop a PDF or DWG drawing into a desktop or cloud-based app and instantly receive: • ready-to-run G-code for CNC turning, VMC machining centres, and sliding-head lathes • an automatically compiled tool l...Modular architecture so future machine posts and tooling libraries can be dropped in without rewriting the core. • A clean UI: drag-and-drop drawing, choose machine type (turning, VMC, sliding head) and material, hit “Generate”. A structured report—tool sheet, NC code, time study—downloads in one zip. Please outline your relevant CAM/AI experience, the technology stack you’ll use (Fusion API, OpenCV, TensorFlow, custom Python, etc.), and an estimated development timeline. I will provide sample drawings and run real c...
...Extract all VALVE ,tee ,of each line no . identify specification break. Acceptance 1. Your extraction script or model must handle multiple P&IDs with different drafting styles without manual re-training. 2. A spot-check on three random areas of the drawing should match the Excel output 100 %. 3. All line breaks must be flagged so that downstream pipe counts reconcile. Feel free to leverage OpenCV, Tesseract, TensorFlow, YOLO, or another approach—just keep the setup reproducible so I can run it again on future packages. A short read-me and sample code are welcome alongside the Excel file....
...start/append a detailed log with time-stamped recordings, – terminate the test automatically if the violation crosses a preset threshold. _ Customize and integrate Jitsi meet enterprise Please wire the solution into the current CBT code-base (PHP/Laravel on the back end, React on the front if you need specifics), keeping latency low and storage use reasonable. Any third-party libraries—OpenCV, TensorFlow, or proprietary SDKs—are fine as long as licences allow commercial use. Deliverables 1. Fully integrated AI proctoring module running in our staging environment. 2. Deployment instructions and config files so the team can promote to production. 3. A short README that explains how alerts are generated, where recordings are stored, and how thres...
...Gender—and drops them into a single, neatly structured Excel sheet. The workflow I’m after is straightforward: 1. Drag-and-drop or batch-select PDFs and images. 2. The tool runs OCR, interprets the standard Indian passport layout, and writes each record as a new row in one master sheet. 3. A quick accuracy log or on-screen preview lets me spot-check results before I save. Python, Tesseract, OpenCV or any reliable OCR/ML library are fine; the final choice is yours as long as it runs on Windows without complex setup. Packaged executable (or a clean virtual-env project) plus clear, step-by-step instructions are all I need to start using it the same day. Acceptance will be based on: • Correct extraction of every required field from at least 30 sample passports of...
I need a Windows-only Python desktop application that is cleanly split into modules. The stack is fixed: PySide6 for the GUI, OpenCV for image handling, ONNX Runtime with the DirectML EP for inference, and DXCam for high-speed screen capture. Core behaviour • At start-up the app scans a “Models” folder, lets me pick an ONNX file, then instantiates the matching decoder class so any input / output tensor layout is handled transparently. • Capture, inference, automatic target selection, PID calculations, the main UI, and plug-ins must each live in their own .py file; cross-talk happens only through well-defined interfaces. • Target selection is automatic (based purely on the model’s predictions). Manual controls are not required now, yet keep t...
...generation • Real-time preview with basic customisation tools • One-click download (PNG/JPG) and social-media sharing buttons Tech is flexible, but the solution must be fully responsive and run smoothly on both desktop and mobile. If you choose React, Vue, or another front-end, pair it with a solid back-end (Node, Django, or similar) that can handle image processing libraries such as Pillow or OpenCV. Cloud deployment is preferred so I can push updates quickly. Acceptance criteria 1. Uploads at least 20 screenshots and produces a grid collage in under 10 seconds. 2. Final image resolution remains sharp at 1080 px width or higher. 3. Login, download, customisation, and share functions operate without errors across Chrome, Firefox, Safari, and mobile browser...
...Software (GUI or web dashboard) that connects to multiple RTSP or ONVIF streams and automatically detects entry and exit lines. • Separate, real-time tallies for cars and motorcycles, with the running balance always visible. • A simple way to reset or export counts (CSV/JSON) at the end of a chosen period. • Installation guide plus brief documentation so my team can add new cameras later. OpenCV, YOLOv8, TensorFlow, or a comparable computer-vision stack is fine as long as the final solution runs reliably on a mid-range Windows or Linux box without expensive GPUs. I’ll consider the project complete when I can point the finished program at two of our existing cameras, watch vehicles come and go, and see the live numbers update with at least 95 % accur...
I’m building a real-time activity analysis pipeline that ingests live streams from well over ten IP cameras and flags everything that matters to my operations team. The focus is threefold: accurate people counting, reliable intrusion detection, and fluid crowd-movement analysis. At the core I expect a YOLO-based model (v5, v7 or v8—you can advise) running through OpenCV that can scale horizontally as additional RTSP streams come online. Low-latency processing, smart use of GPU resources, and clean separation between detection and business-logic layers are crucial because the system will eventually tie into an existing alert dashboard. Deliverables • End-to-end Python (or C++) code that connects to each camera, performs the detections described above, and outpu...
...PDFs into Excel, CSV, JSON, or databases. What I Can Build PDF to Excel / CSV Automation OCR for Scanned Documents AI-powered Document Data Extraction Bulk PDF Processing Multi-language Document Support (English, Hindi, Telugu and more) Duplicate Detection & Data Validation Intelligent Error Detection & Record Verification Offline or Low-Cost Processing Solutions Technologies Python OpenCV Tesseract OCR / EasyOCR PyMuPDF pdfplumber Pandas OpenPyXL AI / Computer Vision Excel & CSV Automation Suitable Projects Voter List Extraction Invoice Processing Bank Statement Extraction Government Documents Forms & Applications Survey Reports ID Cards & Certificates Property Records Legal Documents Custom PDF Data Extraction Workflows What You Get Clean and accu...
...quality is insufficient. * Comply with secure development practices and South African POPIA requirements. Any paid libraries, proprietary software, external APIs or recurring costs must be clearly disclosed before the project is awarded. ## Required Experience Applicants should have experience with: * Python development * Barcode decoding * Optical character recognition * Image processing * OpenCV or similar technologies * REST API development * JSON * Mobile camera integration * Secure handling of personal and vehicle information Previous experience decoding South African driver’s licences, vehicle licence discs or identity documents will be highly advantageous. ## Information to Include in Your Proposal Please include: * Your relevant experience. * Examples of sim...
I need a Senior Computer Vision and Deep Learning Engineer to build a complete production-ready AI ...This is not a basic rembg installation and no hidden third-party paid API should be used. The developer will be responsible for the complete project, including AI model selection/fine-tuning, Python FastAPI backend, GPU optimization, frontend integration with my existing PHP/JavaScript website, testing, bug fixing, deployment and production launch. Required technologies include Python, PyTorch, OpenCV, image segmentation, alpha matting, ONNX/TensorRT, CUDA, Docker and GPU deployment. Complete source code, trained model weights, training scripts, deployment files and documentation must be handed over. Payment will be milestone-based after quality and speed testing against a privat...
I’m ready to turn a playful idea into a working entertainment robot and need an engineer-maker who can take it from concept to functioning prototype. The goal is a small, crowd-pleasing bot that moves with personality, reacts to simple audience cues, and runs s...Acceptance criteria 1. Robot rolls or walks smoothly on flat indoor surfaces. 2. Executes at least three distinct “show” motions triggered by a button press or distance sensor. 3. Operates 60 min minimum on a single charge without overheating. 4. All CAD files, schematics, BOM, and commented code delivered in editable formats. I’m open to your suggestions on components and toolchains—ROS, OpenCV, or custom libraries are all fine as long as setup instructions are included. Let’s b...
...zones—including Name, Address, Date of Birth, 行動電話, 險種名稱 and any other handwritten box on the page—that must be recognised automatically. Rather than hard-coding coordinates, I want to call the software with a list of field labels (for example “name” and “address”) and receive the recognised text for each label in a clean machine-readable format such as JSON or CSV. Internally you are free to use OpenCV, PaddleOCR, Tesseract, TensorFlow, PyTorch—or any combination—so long as the handwriting recognition works reliably on Chinese characters and can be extended if new labels are added later. Deliverables: • A runnable script or small service (Python preferred) that accepts a single image/PDF upload and returns the extracte...
...Gemini >Context-Aware and Emotion-Based Responses > Dynamic AI Voice Output (Text-to-Speech) > Live Webcam Emotion Analysis > Modern Responsive Glassmorphism User Interface > Fast Real-Time Processing > Production-Ready Flask Web Application # Technology Stack #Programming Languages * Python * JavaScript * HTML5 * CSS3 # Artificial Intelligence & Machine Learning * TensorFlow * Keras * OpenCV * Custom CNN * FER2013 Dataset * Google Gemini API # Web Technologies * Flask * Tailwind CSS * Web Speech API # Development Tools * Git * Jupyter Notebook * Docker ## Problem Solved Traditional chatbots provide generic responses without understanding users' emotions. This project bridges the gap between Artificial Intelligence and Emotional Intel...
AI-Based Road Accident Detection System I have developed an AI-powered Road Accident De...support Automatic alert generation Dashboard for monitoring accidents Secure user authentication with JWT Cloud image storage using Cloudinary MongoDB database integration Responsive React-based user interface REST API architecture Deployable on cloud platforms such as Render and Vercel Technology Stack Frontend: React.js, Tailwind CSS Backend: Node.js, AI Service: Python, Flask, YOLOv8, OpenCV Database: MongoDB Atlas Storage: Cloudinary Authentication: JWT Version Control: Git & GitHub The project demonstrates practical implementation of Artificial Intelligence, Computer Vision, and Full-Stack Web Development to improve road safety by enabling faster accident detection and emergency respo...
How digital video changes the world? Read about the latest trends, popular video processing tools, programming languages using for video editing etc.