Opencv trabalhos

...otimizar um algoritmo/módulo de IA para rastreamento de objetos (aeronaves) em streams de vídeo em tempo real provenientes de câmeras. Requisitos Técnicos Essenciais: Linguagens de Programação: Python (preferencial), C++. Frameworks de IA/Deep Learning: Experiência comprovada com pelo menos um dos seguintes: TensorFlow, PyTorch, Keras. Bibliotecas de Visão Computacional: Forte domínio de OpenCV para processamento de vídeo e imagens. Algoritmos de Tracking: Experiência com algoritmos de rastreamento de objetos (ex: CSRT, KCF, SORT, DeepSORT, YOLO com tracking, etc.). Detecção de Objetos: Conhecimento em modelos de deteção de objetos (ex: YOLO, SSD, Faster R-CNN) para ident...

...técnicos; Extrair automaticamente cotas, dimensões e tolerâncias; Identificar a posição (quadrantes Q1 a Q4) de cada cota; Numeração sequencial com marcação visual no PDF original; Gerar relatório vinculado (Excel ou Word) com os dados extraídos. Tecnologias Sugeridas: Preferência por Python com bibliotecas open source, como: Leitura de PDF: pdfplumber, PyMuPDF OCR (se necessário): pytesseract, opencv Relatórios: pandas, openpyxl, python-docx Marcação visual: reportlab ou similar Propostas com outras linguagens são bem-vindas, desde que justificadas tecnicamente. Marcação Visual no Desenho: Inserir balões numerados junto às cotas; Exp...

...Exportação de dados • Gestão de notificações push • Cadastro de profissionais (optometristas, técnicos) • Integração com sistemas internos (ERP óptico, laboratório etc.) ⸻ 4. RECURSOS TECNOLÓGICOS RECOMENDADOS • Frontend Mobile: Flutter ou React Native • Backend: Node.js ou Python (Django) com API REST • Banco de Dados: PostgreSQL ou MongoDB • Reconhecimento facial / IA óptica: OpenCV + TensorFlow/MediaPipe (para medição) • Hospedagem: AWS ou Firebase (recomendado para escalabilidade) ⸻ 5. ITENS DIFERENCIAIS • Tecnologia própria de medição óptica por selfie • Monitoramento vi...

Projeto: Plataforma de Edição Automática de Vídeos com Reconhecimento Facial Objetivo: Desenvolver uma plataforma inteligente que automatize a criação de vídeos personalizados com drone para clientes que fazem passeios d...manualmente os melhores trechos (modo semiautomático). Edição em lote para processar múltiplos pacotes por vez. --- Entrega esperada Plataforma web (preferencial) ou software desktop (alternativo). Painel de controle com área de upload e exportação. Sistema leve e simples para uso interno da equipe. --- Tecnologias sugeridas Backend: Python, Node.js ou similar. Reconhecimento facial: OpenCV, Dlib, Amazon Rekognition, ou alternativa eficiente. Edi&ccedi...

Preciso de ajuda com o desenvolvimento do aplicativo/game, em Python (PyGame) + MediaPipe e OpenCV... Preciso de alguém com expertise nisso.

Escopo do Projeto: Substituição da Câmera Nativa: Desenvolver uma aplicação que se registre como uma câmera disponível no sistema Android Integrar a câmera virtual para que seja selecionável em qualquer aplicativo que utilize a câmera nativa. Intera... Implementação de técnicas de ataque adversarial. Modificação da imagem para enganar algoritmos de reconhecimento facial, se necessário. Captura de dados do acelerômetro e giroscópio. Simulação de movimento da câmera com base nos dados dos sensores. 3. Tecnologias e Ferramentas: Linguagem de Programação: Java/Kotlin. IDE: Android Studio. Bibliotecas: OpenCV (para manipula&ccedi...

Boa tarde ! ...mandam nos 2 modelos), esse projeto pode ser pego diretamente do WhatsApp da empresa onde os clientes mandam os projetos, ou pode ser pego numa pasta onde o projeto é baixado manualmente (seria melhor se for pego direto no WhatsApp, mas se for ficar muito mais caro ou ficar muito dificil, não tem problema se puxar o arquivo de uma pasta no PC. É Um projeto de imagem, logo deve ser usado biblioteca OpenCV ou alguma similar que atenda essa necessidade. A partir do projeto calcular quantas unidades do nosso produto serão utilizadas (considerando altura e largura da peça) e retorne um orçamento pronto (de preferência num arquivo aberto) para que possamos apenas colocar o CNPJ e de mais dados do cliente. Prazo para entrega...

olá, estou a procura de alguem para fazer uma aplicação em python django usando opencv para correção de folhas de respostas. estilo o aplicativo conhecido como zipgrade. vamos negociar?

uma tela em java para exibir imagem de uma webcam, utilizando opencv para detectar a presença de um objeto

Olá, preciso da resolução de dois exercicios si...notebook, portanto preciso de alguém com conhecimento nessa area. Vou deixar abaixo a descrição das duas atividades: Avaliando Linguagem natural 1 - Utilizando último dataset de linguagem natural e adicione 20% frases fictícias antes de treinar separe 10% e avalie a modelo. Conclua com sua avaliação sobre as métricas utilizadas. Poste o DataSet e o fonte (.ipynb) Processamento de imagem com opencv 2- Extraia rosto das images salvando em novo arquivo exemplo: ( existem 3 rosto) salve , e somente com o rosto. Aplique um filtro ou desenho no rosto encontrado alterando a imagem. Poste somente o fonte (.ipynb) Tenho video aula com o professor explicando c...

Outro ou sem certeza C ou C++ Um contador de veículos utilizando webcam. Tenho os tutoriais com fonte mas estou com dificuldade

Improve a system of counting and classification of vehicles, I have some codes that can be used as base, one of them already writes the data in a MySQL database and this functionality must be maintained, it follows in annex a good documentation on counting and classification night , This is one of the goals of this project, that the system works during the day and at night. In one of the codes I have it is necessary to create the count line the first time, done this, the system create the configuration files, I think this is a good option, because we do not always have the same angle to the street, that's it , A vehicle counting and classification system where the counting line can be defined and has the ability to adjust the lighting according to the time, morning, afternoon and n...

Help for compiling OpenCV code (kalman filter) in Ubuntu 14 I need a vehicle counter with size classification I have a code downloaded from the internet, I need to compile it, I've tried it but I always get errors. Ajuda para compilar código OpenCV (kalman filtro) em Ubuntu 14 Preciso de um cotador de veículos com classificação por tamanho Tenho um código baixado da internet, preciso compilar ele, já tentei mas sempre obtenho erros.

Desenvolvimento de um aplicativo que obtenha como entrada dados de placas veiculares do Brasil carro,moto e caminhão (ocr/opencv/Tesseract) através de uma ou duas câmeras embarcadas e faça uma consulta em dois bancos de dados, sendo um interno e outro externo via internet com quebra de captcha, dependendo do resultado seria emitido um alerta. Preferência para profissionais de São Paulo/Capital Fico no aguardo.

Desenvolver uma aplicação em c#, pode ser com a biblioteca OPENCV ou não, que faz a leitura de uma foto "jpg" e faz a contagem dos objetos contidos nela, exemplo: imagine uma foto com girassóis, preciso, saber quantos girassóis tem nessa foto e a sua respectiva área. No anexo enviei uma foto com dois papagaios, o programa precisa identificar quantos objetos papagaio tem na foto, isso precisa ser dinamico, porque posso ter uma outra foto com outros objetos e o programa precisa fazer a contagem. Att, José Camargo

Temos em mente um sistema que possa fazer detecção de veículos como: - Placa - Modelo - Marca - Velocidade percorrida - Classificação do veículo ( carro, moto, Caminhão) - Elaborar relatório e histórico em tempo real, de veículos. - Lista negra de veículos roubados ou com pendências. Tenho algumas referências já existentes que provavelmente tenha codigo disponivel.

Boa tarde. Tem algum desenvolvedor para um aplicativo android que interligue a captura de imagens do celular( OPENCV/TESSERAT… ) com um banco de dados e o sinesp cidadão. Seria usado embarcado em um veiculo visando o combate de ilícitos penais. Aguardo maiores informações. Obrigado.

Leitura Automática de Placas de Automóveis Automatic Namber Plate Reader OCR Precisamos um aplicação para Android usando smartphone (sansung S3 e S4) utilizando bibliotecas do openCV /Tesseract ) para ser disponibilizado em smartphones de policiais. Como exemplo: Para placas de carros brasileiros com três letras e quatro números (LLLNNNN). A principio básico é o reconhecimento de placas de veículos em tempo real e simultaneamente a consulta em base de dados externa (remota). Temos uma equipe interna na nossa empresa de desenvolvedores, que pode ajudar a fazer o controle de acesso externo a base de dados remotamente e fazer uma “casca” no produto. Aguardo seus coment&aacu...

Desenvolvimento de aplicação para plataforma Android com a biblioteca OpenCV.  Eclipse ou Android Studio.  Visão computacional de Image: Processing, Detecion e Tracking. Mais informações com os profissionais pré-selecionados. Interessados, enviar propostas!

Procuramos programadores e desenvolvedores, com conhecimento em C/C++, que more em Sorocaba. Trabalhamos com OpenCV aqui, então será um grande diferencial conhecimento na biblioteca.

Leitura Automática de Placas de Automóveis Automatic Namber Plate Reader OCR Precisamos um aplicação para Android usando smartphone (sansung S3 e S4) utilizando bibliotecas do openCV /Tesseract ) para ser disponibilizado em smartphones de policiais. Como exemplo: Para placas de carros brasileiros com três letras e quatro números (LLLNNNN). A principio básico é o reconhecimento de placas de veículos em tempo real e simultaneamente a consulta em base de dados externa (remota). Temos uma equipe interna na nossa empresa de desenvolvedores, que pode ajudar a fazer o controle de acesso externo a base de dados remotamente e fazer uma “casca” no produto. Aguardo seus coment&aacu...

Desenvolver um sistema de visão computacional, utilizando a biblioteca OpenCV para contagem do fluxo de pessoas usando câmeras de segurança de uma placa GeoVision. Disponibilizar relatórios do fluxo por dia, hora, câmera ... além da contagem. Outras funci

...target app, wait for it to load, populate the login screen and navigate onward until the signature page is reached and signed. I imagine a compact gantry or articulated arm driven by servos or steppers, guided by a microcontroller (Arduino, Raspberry Pi, or similar). Because the touch targets are fixed, a predefined set of coordinates should be enough, yet I’m open to an overhead camera and OpenCV calibration so the robot can self-correct for phone positioning or screen rotation. What I need from you 1. Detailed mechanical design files (CAD, STL or DXF) and a complete parts list. 2. Control firmware and higher-level Python/C++ scripts for motion, timing and any computer-vision alignment. 3. A repeatable procedure to store my PIN and app credentials securely on the...

...the cameras quite precisely. We then exported the camera data to JSON using a script, which we then imported into Colmap as the start poses. We spent a long time developing a script that correctly exports the poses and imports and uses them correctly in Colmap. I'm happy to make this script available. Also, the JSON containing the start extrinsics. We also calibrated each individual camera with OpenCV and have very precise intrinsics for each camera. This is also read and used by Colmap. I will also provide the JSON. Then we made a test recording with our rig. It's just over a minute long at 30fps and 4k resolution. The rig itself is stationary. We moved and panned the rig in the recording. This results in a lot of parallax and reveals many details in the images. I ...

...set of outfit suggestions, indicating why each piece flatters the user’s proportions, complexion and current tastes. • A lightweight dashboard lets me update trend data, brand catalogs and style rules without redeploying the app. Technology expectations The recommendation layer can be built with Python (TensorFlow / PyTorch) or a similarly capable stack, and computer-vision models (e.g., OpenCV, Mediapipe) will be needed to validate measurements from photos if users choose that option. The mobile front‐end may be native (Swift / Kotlin) or React Native / Flutter as long as performance remains smooth. Cloud hosting on AWS, GCP or Azure is fine; I’ll provide the keys. Deliverables • Model code, fully commented and trainable on new datasets •...

... push, or SMS—whatever integrates cleanly) when someone signs in, signs out, or when an unknown face appears • Report generation that can be filtered by date range, department, or individual employee, exportable to CSV and PDF • A webhook endpoint so our internal systems can consume every check-in or alert programmatically Feel free to choose the stack you are most productive with—Python (OpenCV, FaceNet, Flask/FastAPI), or a JS stack (, Node, React) are both fine—as long as deployment is straightforward on a standard cloud VM or Docker container. The model must run on-prem or in our private cloud; no third-party APIs that send images off-site. Acceptance criteria: 1. System recognises registered employees with 98 %+ accuracy under normal offic...

...should open the standard share sheet so I can send the chosen files through any installed channel (Messages, WhatsApp, AirDrop, e-mail, etc.). Accuracy is key: false positives in face grouping must be minimal, and whenever the algorithm is unsure, it should simply place the photo in an “Unsorted” bucket so I can manually move it. I’m happy for you to use Apple’s Vision/Core ML, Google ML Kit, OpenCV or another proven face-clustering library—whatever offers reliable on-device processing and keeps users’ photos private. Deliverables 1. A fully functional mobile app (native or cross-platform) that runs on at least one major platform. 2. Automatic face clustering with an easy way to correct mistakes. 3. Filters that let me select photos ind...

...dropped streams or timing errors. Deliverables 1. Full-stack code (frontend + backend) with clear instructions. 2. Admin panel: credential generator, calendar slot manager, download/playback of recordings. 3. Automatic email module wired to my custom SMTP. 4. Load-test report proving 10-user concurrency. 5. Assisted hand-off and live verification on my server. Tech is flexible—WebRTC, OpenCV, Node.js, Python, or similar—so long as the dual recording + gaze tracking works consistently in Chrome and Edge....

...identificar automáticamente al estudiante mediante esas columnas y leer cada burbuja para asignar la nota. • Guardar los resultados directamente en MySQL y permitirme consultarlos, exportarlos o corregir manualmente desde la misma GUI. El sistema debe correr íntegramente en mi servidor (sin servicios externos) y ser instalable con un script o contenedor. Me interesa que uses bibliotecas como OpenCV, Pillow o similares para el reconocimiento, y que el código quede bien documentado para poder ampliarlo después. cabe recalcar que las fotos seran tomadas por camara celular, tomando en cuenta que no siempre seran tomadas en un ambiente ideal, entre otros. Al finalizar espero: 1. Código fuente completo en Python. 2. Script de despliegue ...

...shelves are crowded. Key expectations • Real-time theft detection logic that raises an event or REST webhook the moment a suspicious removal is spotted • On-screen bounding boxes and confidence scores for detected grocery items and customers • Continuous customer counter with hourly CSV/JSON export • Installers or scripts for Windows 10/11 and Raspberry Pi OS, including all required Python, OpenCV, PyTorch/ONNX, CUDA (where available) dependencies • A simple dashboard that shows live feed thumbnails, current customer count, and the last N theft alerts • Clear instructions on adding new grocery SKUs later Acceptance will be based on: 1. Smooth 25-30 fps inference on 1080p streams under Windows with GPU, and ≥10 fps on Raspberry Pi...

...the visible subject, expands that shape by a configurable offset, and returns the resulting cutline as an SVG file. Auto-outline detection is the single most important processing step; edge smoothing and colour tweaks are nice-to-haves but not required for this phase. Here’s the flow I have in mind. A user hits /outline with a multipart upload, the API queues the image, runs the outline routine (OpenCV, scikit-image, or any library you prefer), inflates the path by the requested number of pixels or mm, then streams back plain-text SVG. A second, optional endpoint /health is enough for monitoring. The service must comfortably handle images up to roughly 30 MB without timing out. I’ll review the work against a small set of deliverables: • Fully-commented Python ...

I need a fully-packaged proctoring add-on that plugs straight into Moodle qu...toggle the feature, choose snapshot frequency, set violation limits, and enable or disable each alert type. After each exam, an instructor-facing dashboard must display every captured frame with an inline viewer, a one-click download option, and a clear violation summary per student. Code should follow Moodle development guidelines, rely on PHP/JavaScript and an open-source vision library such as OpenCV or a comparable lightweight alternative, and ship with: • Complete, well-commented source • Installation & configuration guide • Unit / functional test scripts • Support through final deployment on our production server Keep the solution modular so upgrades to future Moodle...

...the project grows—then save every relevant frame straight into a MySQL database. Each stored image must be linked to the corresponding frame number and any detection metadata so I can later query, filter, and analyse the results. Once the data is stored, I want a lightweight viewer that steps through the saved frames in order, overlaying the detection boxes so I can visually confirm accuracy. OpenCV for frame extraction and display is acceptable; YOLO, TensorFlow, or another modern model is fine so long as the code is clean, well-commented, and easy for me to retrain with additional classes. To keep the hand-off smooth, please include: • A self-contained Python 3 script (or module set) that performs detection, inserts frames into MySQL, and plays them back. • ...

...can build a production-ready model that listens to a baby’s cry, watches the paired video, and decides—reliably—whether the cause is hunger, discomfort, or simple attention seeking. Audio and video must be fused inside one architecture; running them in parallel but independently will not satisfy our accuracy goals. You may use the deep-learning stack you trust most (PyTorch, TensorFlow, Keras, OpenCV, torchaudio, etc.) provided the final network can run in real time on an edge device and be exported to ONNX or TFLite. I will share product constraints and a small proprietary data set; you will expand it through public sources or augmentation, perform rigorous cross-validation, and refine the model until we consistently exceed 90 % precision and recall on an unse...

...concept, but I now need the scene brought to life with responsive touch/gesture input through AR Foundation and polished 3D assets. Unity 3D (URP) will drive the core app, while MediaPipe or OpenCV will handle hand-tracking and gesture recognition. On the hardware side the code must remain portable to Raspberry Pi OS and Arduino-based prototypes, so a clean Python or Node.js bridge is essential. Here’s what I’d like you to deliver: • A Unity scene that compiles on Android and iOS, wired for AR Foundation with robust user interaction logic (tap, pinch, swipe, custom gestures). • Integration of MediaPipe/OpenCV scripts so gestures trigger in-app events with minimal latency. • A small library of optimized 3D models (Blender or Maya) that match...

...TensorFlow Lite / OpenCV / YOLO, etc.) • Demonstrate: 1. Live head tracking 2. Auto zoom in real time 3. Stable performance (≥15 FPS) Deliverables • Full source code • Build instructions • Short demo video showing real-time performance • Explanation of how this will later integrate with a custom camera SDK Once validated, this prototype will be integrated into our production system. Target Platform (Future Integration) Our production system will be: • Android-based smart mirror • Wi-Fi camera input (custom SDK) • C/C++ (NDK) + Java/Kotlin • Video resolution: up to 4K • P2P local streaming (no cloud) So experience with embedded/mobile video pipelines is important. Preferred Skills • Computer Vision / Machine Learni...

...After auto capture: * Show a preview screen of the captured image * Provide two actions: * Save → confirm and store the captured image * Retake → discard the image and return to live camera view * Ensure retake resets detection and overlay state Technical Requirements * Technology Stack: React Native with Expo * Use Expo Camera * Corner / black box detection using: * OpenCV (WebAssembly or Expo-compatible approach), or * Any optimized computer vision technique suitable for Expo * Must work on Android and iOS * Performance optimized for real-time detection Deliverables * Fully functional camera module with: * Live 4 black box detection * Green overlay confirmation on successful detection * Automatic high-resolution image capt...

...moments, trim away the rest, merge the highlights, and export a seamless final cut. While doing so it should apply modern, clean-looking filters and subtle visual effects—think gentle color grading, light motion graphics, and smooth transitions that feel current rather than retro or flashy. I’m open to the underlying tech stack as long as the result is reproducible. If you prefer Python with OpenCV and FFmpeg, or would rather leverage an environment like Adobe’s Sensei APIs, that’s fine; just outline your approach. What matters is that the pipeline can be triggered from a simple command or button press and deliver a ready-to-publish MP4 or MOV in vertical 9:16. Deliverables • A working script, model, or plug-in that completes the trim-merge-fi...

...straightforward: the program captures frames, an AI model spots the person, and a virtual stick signal (XInput, vJoy or a comparable driver) nudges the aim every frame so it stays centred. Smoothness and speed are critical. On a 1080p feed I’m aiming for roughly 60 fps with no more than 40–50 ms end-to-end latency, so techniques such as YOLOv8, TensorRT or a lightweight custom network combined with OpenCV screen capture should fit. You’re free to choose Python, C++, or another language as long as the final build runs reliably on Windows 10/11 without needing exotic dependencies. Deliverables • Windows executable with a small GUI (start/stop, confidence slider, aim-speed slider, hotkey toggle) • Source code and the pretrained model that recognises p...

...- Timing data can be mocked for MVP Highlights: - Automatically record each run - Generate short highlight clip after run - Play highlight before next competitor Tech Stack: - Python, OpenCV, YOLOv8 (or similar), FFmpeg / RTMP, Docker (optional) Deliverables: - Working MVP prototype - Source code (modular, documented) - Demo video or test livestream - Basic setup instructions Why This Project is Interesting: - Real-world AI application - Clear commercial potential - No vague AI promises - Opportunity to shape a real product from the start REQUIREMENTS: Tech stack (preferred, flexible) - Python - OpenCV - YOLOv8 (or similar) - FFmpeg / RTMP - Optional: Docker - Frontend UI can be minimal or skipped for MVP
 Deliverables - Working MVP prototype - Source code (modular, ...

...exact same model, exact same results, but with modern syntax, clear separation of concerns, and thorough inline comments. You’ll start from my original scripts and checkpoints, preserve every bit of accuracy, and hand back a fully functioning module (including a simple demo script) that can be installed with pip-installable requirements. Feel free to streamline library calls—TensorFlow, PyTorch, OpenCV, or whatever is currently in place—so long as the final inference output matches the reference I provide. Deliverables • Refactored Python package replicating the current predictions on a supplied test set • README covering setup, dependencies, and usage • Quick comparison report showing identical mAP or better against the original run I&rs...

... Generate a ready-to-print shipping label (standard 4x6 thermal format). 2. Push the full XML payload to our in-house system through a REST-style API. I expect the software to run unattended on Windows, include simple UI panels for device status and manual override, and log every transaction for traceability. Code can be in C#, Python or another language suited to serial/USB device control, OpenCV and Tesseract OCR; just keep external dependencies to well-supported, licence-friendly libraries. Deliverables • Executable application and source code • Sample XML output reflecting the required structure • API endpoint documentation showing request/response examples • Deployment guide for connecting the scale, volumetric camera and scanner Accuracy, sp...

...pattern types: extend recognition beyond the basic horizontal/vertical stripes to oblique, curved, or irregular banding the current code ignores. • Optimize performance: refactor the pipeline for faster image loading, GPU-aware inference, and leaner memory use so it remains responsive on large datasets. Everything runs in Python, so please stay within that ecosystem. You are free to introduce OpenCV, scikit-image, PyTorch, TensorFlow, or other libraries, provided the final solution installs cleanly with a and runs from a single entry-point script or Jupyter notebook. Input will be folders of images; no video or live feed integration is required at this stage, but laying groundwork for future expansion is a plus. I will supply a labeled image set for benchmarking and exp...

...seconds, and push actionable alerts through a cloud-hosted pipeline. Later phases will weave in IoT sensors, GPS data and public-transport schedules, but for now cameras take centre stage and all processing happens in the cloud. Here’s what I need from you: • A complete stream-to-insight workflow: camera feed ingestion → cloud message bus → analytics micro-service. • Computer-vision models (OpenCV, YOLO, TensorFlow—your call) that flag incidents with >90 % precision/recall on my test clips. • A REST API that surfaces live traffic state and returns diversion routes in real time. • Extension hooks so I can sync bus, train and metro timetables and forward delay alerts to commuters. • Containerised or serverless deployment s...

...needs to handle: - Banking interactions (finding banker, opening interface) - Withdrawing logs - Walking to firemaking spots - Lighting fires - Managing inventory I have plenty of screenshots and reference images to work from, so you won't be starting from scratch! What I'm looking for: I need someone who's: - Really comfortable with Python on macOS (not just Windows/Linux) - Has experience with OpenCV or similar computer vision libraries - Has built game bots/automation scripts before - Understands how to make mouse movements and clicks look human (not robotic!) - Knows their way around Git Bonus points if you: - Have a background in ML or computer vision - Have experience with OSRS or similar games - Know macOS UI automation inside and out - Have thought about...

...provides the mathematical baseline — the system blends both outputs Implement smart caching and pre-computation so API latency doesn't slow down decision-making (pre-fetch likely scenarios, cache common spots) Fallback logic: if the API is slow or unavailable, the bot defaults to the GTO baseline so it never stalls mid-hand 2. Screen Reading / Game State Extraction (The Eyes) Use computer vision (OpenCV + Tesseract OCR or similar) to read the poker table from screen captures or browser window Must accurately extract: hole cards, community cards, pot size, stack sizes, player positions, betting actions, blinds/antes, tournament stage Card recognition model (CNN or template matching) with high accuracy Must work reliably across at least one major free poker platform ...

...Standard user and Guest—each with appropriate permissions for running detections, reviewing results and managing data. Please structure the code so that REST endpoints are cleanly separated; this will let me expose the following Android-ready APIs later on: live-video analysis, image-file analysis and retrieval of disease-history logs. Deliverables • Python inference engine (TensorFlow/PyTorch + OpenCV acceptable) optimised for Raspberry Pi 5 • Django project with the described role system, templates and REST endpoints • Model-training notebook or script plus labeled dataset reference • Setup script or Dockerfile for one-step deployment on a fresh Pi • Brief README covering install, usage and endpoint documentation Acceptance criteria ...

...pixels themselves • Contrast between those pixels and adjacent pavement pixels • A distance weighting that values pixels closer to the camera more heavily than distant ones • A continuity penalty that reduces the score when the mask reveals breaks or flicker in the lane line Feel free to propose additional minor refinements if they improve stability, but please keep the core idea intact. OpenCV, NumPy, and scikit-image are the tools I already use elsewhere, so sticking to that stack will make adoption easiest. The code should be clean, modular, and fast enough to process typical 1080p sequences in real time or near real time on a modern CPU (GPU use is optional but not required). Deliverables • A self-contained Python module or notebook that loads...

...phone while triggering audible deterrents on-site. Here’s the shape of the work: • System architecture: advise on the right combination of sensors (camera, PIR, ultrasonic, mic), onboard processing (Raspberry Pi, Jetson, or similar), and wireless protocols so the robot can run edge-based computer-vision without relying on the cloud. • Detection pipeline: develop or integrate a lightweight model—OpenCV or TensorFlow-Lite is fine—that reliably flags human intrusion in low-light and daylight conditions, minimising false positives from pets. • Alert mechanism: build the software bridge to push break-in alerts through a companion mobile app/API along with timestamped snapshots or short clips. A local siren should activate simultaneously. •...

...and remote fitness routines, there is a pressing need for intelligent systems that can guide users to perform exercises safely and effectively, minimizing the risk of injury and promoting consistent form. The proposed system leverages advanced computer vision and machine learning techniques to detect and analyze body posture using a live camera feed. By utilizing frameworks such as MediaPipe and OpenCV, the assistant accurately captures skeletal landmarks and evaluates the user’s movement patterns in real time. The AI model processes this posture data to identify deviations from the correct form and delivers immediate corrective suggestions. This not only enhances the effectiveness of workouts but also reduces the chance of developing injuries due to poor form. The system i...