Opencv jobs

...frameworks for better efficiency. What We’re Looking For: Technical Skills & Experience: 5+ years of experience in web scraping, automation, and e-commerce data processing. Expertise in Python, Selenium, BeautifulSoup, Scrapy, or similar scraping frameworks. Strong knowledge of Excel automation, CSV processing, and price calculations. Experience with image processing tools (Photoshop automation, OpenCV, Pillow, or similar). Understanding of bulk import/export processes. Data Processing & Problem-Solving Abilities: Ability to extract and transform unstructured data into clean, structured formats. Experience handling complex pricing calculations and bulk product imports. Strong knowledge of data validation, error handling, and automation best practices. Process Aut...

I have a short segment of security-camera video showing two vehicles, recorded in completely dark conditions. The footage is low-clarity, so the license plates are currently unreadable...number. Please supply both the cleaned-up still images (full frame and a cropped close-up of each plate) and a simple text file with the characters you were able to decipher. The work has to stand up to basic forensic scrutiny, so I need a clear methodology, minimal artifacts, and proof that the digits you provide genuinely originate from the source video. You are free to use any combination of OpenCV, Topaz, AI super-resolution, de-blurring, or custom image processing—as long as the final output meets the goal: two verified plate numbers accompanied by evidence images that make their chara...

...verification status plus the parsed data in JSON. The core task is to build this as a RESTful service and wire it into my existing backend. I’m comfortable exposing webhooks or consuming your API from Node.js, Python, or Java, so pick the stack you work fastest in—as long as the integration points stay standard (HTTPS + JSON). Please rely on proven libraries or services for image analysis (e.g., OpenCV, AWS Rekognition, or any SDK you prefer) and keep everything packaged so it can run in our AWS environment. Deliverables: • Source code for the verification microservice • API documentation (endpoints, request/response samples) • Basic deployment script or Dockerfile • A short README with setup instructions and any third-party licences A...

...train, and package a full ANPR pipeline that: • detects the plate region in diverse lighting and angles, • recognises Arabic and Latin characters as well as the specific colour codes and icons used across the three countries, and • delivers results fast enough for real-time video (traffic-camera frame rates) while also accepting batch image inputs. Please outline your preferred tech stack (OpenCV, YOLOv8, TensorFlow, custom CNNs, etc.), any data you already hold for these plate formats, and what extra data or annotations you would need from me. Your deliverable should include the trained model, inference code (Python preferred), and a simple REST or gRPC interface so we can drop it straight into our existing pipeline. Acceptance will be based on: • ...

...standard-resolution MP4 clip that briefly shows a moving car, and I need to reveal the license plate clearly enough for identification. The job centres on enlarging the relevant portion of the footage and running a meticulous frame-by-frame analysis to pull out every fragment of visual information you can. Feel free to lean on your preferred toolset—Topaz Video AI, DaVinci Resolve, After Effects, OpenCV scripts, or any workflow that mixes AI up-scaling with traditional colour-correction—so long as the end result is a crisp, readable plate. Brightness, contrast, noise reduction, motion de-blur: use whatever secondary tweaks the footage demands, but the mandatory piece is that detailed frame inspection and enhancement sequence. Deliverables: • An up-scaled or o...

DRISHTI AI is a multi-signal identity screening solution designed to automate fake identity detection and document verification. Built using Python, FastAPI, React, OpenCV, PyTorch, and Tesseract, the platform extracts key text fields via targeted OCR, performs forensic checks (EXIF, C2PA, ELA, and AI content detection), and compares live video feeds against document photographs. The system outputs a unified risk score ranging from 0 to 100, placing documents into Verified (Low Risk), Manual Review (Medium Risk), or Rejected (High Risk) categories. DRISHTI AI streamlines customer and student onboarding, prevents impersonation fraud, and maintains audit-ready logging across high-trust industries.

Python / Computer Vision Developer for Multi-Camera Raspberry Pi 5 & Windows Dashboard System Project Overview We are looking for an experienced Python and Computer Vision devel...without triggering a "Device Busy" camera lock on the Pi 5? How will you prevent network saturation when multiple Raspberry Pis sync data to the central Windows PC? How will settings like bitrate, upload mode, and clip padding be dynamically managed across different Pis without modifying Python source code? Required Skills Languages & Core: Python 3 (multiprocessing, SQLite) Computer Vision & AI: OpenCV, YOLOv8, HailoRT / TFLite Raspberry Pi OS: Bookworm 64-bit, systemd, rpicam-apps / Picamera2 Web Frameworks: Streamlit or Flask Networking & Tools: FFmpeg, rsync, SMB/CIFS, DaVin...

I’m building a mobile app that lets anyone point a phone camera at a room, capture either a set of photos or a smooth video walkthrough, and immediately see precise length, width, and height readings—plus a clean 2-D floor plan—right on the sc...Acceptance criteria • I walk through a 4 m × 3 m × 2.5 m room once with my phone; the app outputs dimensions that deviate by no more than 5 cm in either direction. • Floor-plan export opens correctly in common viewers. • App does not require external hardware beyond a standard recent smartphone. If you have prior experience with LiDAR, ARCore/ARKit, or open-source photogrammetry libraries such as OpenCV, OpenMVG, or COLMAP, please highlight it when you reply. I’m happy to discuss techni...

I’m building a computer-vision solution focused on precise image segmentation of vehicles. Everything will be developed in Python, so familiarity with libraries such as OpenCV, PyTorch or TensorFlow is essential. Scope • Prepare or recommend an appropriate dataset and handle data preprocessing. • Design and train a segmentation model that accurately isolates cars, trucks, buses and other vehicles from varied backgrounds. • Provide inference code that runs locally on CPU/GPU and returns clean masks for each detected vehicle. • Include clear comments, a , and a short README so I can reproduce your results. Acceptance criteria • Mean IoU and pixel accuracy benchmarks clearly reported. • Inference time per image noted on both GPU and CPU. ...

I’m building a computer-vision solution focused on precise image segmentation of vehicles. Everything will be developed in Python, so familiarity with libraries such as OpenCV, PyTorch or TensorFlow is essential. Scope • Prepare or recommend an appropriate dataset and handle data preprocessing. • Design and train a segmentation model that accurately isolates cars, trucks, buses and other vehicles from varied backgrounds. • Provide inference code that runs locally on CPU/GPU and returns clean masks for each detected vehicle. • Include clear comments, a , and a short README so I can reproduce your results. Acceptance criteria • Mean IoU and pixel accuracy benchmarks clearly reported. • Inference time per image noted on both GPU and CPU. ...

I am measuring the shadow of small, irregular plastic parts (1–10 mm) with a machine-vision setup and n...need from you – Review the present imaging and processing flow. – Build (or refine) a calibration routine that factors pixel size, lens characteristics and stage alignment. – Tweak image-processing steps—thresholding, edge localisation, sub-pixel fitting, etc.—so the statistical repeatability (σ) stays better than 8 µm across the full FOV. – Deliver well-commented code or scripts (Python/OpenCV, MATLAB or a tool you suggest) plus a short validation report showing the achieved precision on sample captures. Acceptance will be based on a test set I supply: the same part measured repeatedly must fall within the 8 µ...

...robust, liveness-aware facial biometric module. When the user opens the app, it should capture a short video, confirm the face is real and present, compare it to the reference template stored on device or in an encrypted backend, then return a pass/fail result in under three seconds. Native BiometricPrompt/Face ID APIs may be used, or you can bring in computer-vision frameworks such as ML Kit, OpenCV, TensorFlow Lite, or any SDK you trust—accuracy and speed take priority over the specific library. What I expect to receive • A fully functioning mobile application that compiles and runs on current iOS and Android versions • Source code and project files (e.g., Xcode workspace, Android Studio/Flutter/React Native project) • Setup notes so I can build, run...

...validation, image sanitisation and abuse protection. * Testing, monitoring, backups, rollback and separate environment practices. * Cost-conscious architecture with a clear future scaling and high-availability path, without unnecessary overengineering. **Who should apply** Applicants should demonstrate relevant experience in image-processing applications, interactive canvas editors, Python/Flask, OpenCV/Pillow/ONNX, AI API integration, asynchronous workers, SaaS subscriptions and secure production deployment. Please provide: 1. Relevant image-editing, canvas or AI-platform examples. 2. Recommended technical approach. 3. Key assumptions, dependencies and risks. 4. Details of ongoing warranty and support. A complete PRD/FRD, TRD/NFR, architecture specification and commercial-r...

building and running with Qt 5.12 and OpenCV, but the ball recognition still mislabels colours far too often. What I need now is sharper accuracy on the colour classifier and any other enhancements to get it working for a whole game of pool. This may involve things like better masking, illumination correction, or a different colour-space strategy.

...60 FPS but an inference request takes 120 ms, processing every frame synchronously creates a backlog. A better real-time design is “latest frame wins”: keep only the newest frame and discard stale ones. 15. Unity Video Capture UnityCapture is a Windows virtual camera/DirectShow mechanism; it is not Fortnite’s renderer. Conceptually: Video source → UnityCapture → Windows camera device → Helios/OpenCV/other program It is useful only when the game image is actually routed through that capture path. If Helios already provides the frame directly, the direct Helios → CVPython path avoids an unnecessary capture layer. 16. Latest-frame architecture If the game produces 60 FPS but the model can process only 30 FPS, queueing every frame makes detec...

...Load an image from the camera or gallery • Resize (manual dimensions or preset ratios) • Apply AI enhancement in-app, with optional object detection overlays and OCR extraction • Export or share the processed file as PDF, JPEG, or PNG I’m working on Android only, so please build with native tools—Kotlin or Java in Android Studio—and rely on libraries such as TensorFlow Lite, ML Kit, or OpenCV where appropriate. Keep the UI clean and Material-compliant; speed and on-device processing are a priority. For me to sign off, I’ll need: 1. Full Android Studio project with readable, commented code 2. APK for testing on Android 9+ devices 3. Brief README covering setup, AI model sources, and how to add new export formats in future ...

...perform basic trimming and stitching automatically. • One-click export to MP4 in 1080p, maintaining smooth playback on consumer phones and social media. • A preview window so staff can quickly review the clip before saving or re-processing. • Clear documentation plus an installer or portable build we can drop onto multiple machines without an internet connection. You’re free to use ffmpeg, OpenCV, or any other open-source stack under permissive licenses as long as the final package runs offline and the user interface is intuitive for non-technical staff. Acceptance criteria – Processing time no longer than the ride duration + 60 seconds on a mid-range PC. – Output file plays back on Windows, macOS, iOS, and Android without additional c...

...developer will need to install and analyze the supplied game client and determine the most reliable method for obtaining the information required by the decision-making system. The implementation should be developed specifically for this project rather than simply repackaging an existing public script. The developer may choose whichever technology stack is most appropriate, including: Python with OpenCV/PyAutoGUI C++ C# / .NET Another suitable Windows-compatible stack Please include a brief explanation of the proposed architecture, how the board state will be detected, how the drop queue will be interpreted, and how moves will be selected and executed. Deliverables I expect: A compiled Windows executable. A configuration panel for relevant gameplay settings. Clear installa...

I’m building a small-scale image-processing project in Python and need help setting up reliable object-detection code. Before awarding the full job I’d like to see a brief proof-of-concept: a free test run on three sample images that I will provide. Here’s what I expect in that test: • A short script (Python 3.x) that loads each image, runs your preferred detection model (OpenCV, TensorFlow, PyTorch or similar), and draws bounding boxes around the detected objects. • The resulting images saved locally plus a concise console or JSON summary of the detections. • Clear, reproducible setup instructions ( or ) so I can run the test on my machine. If the test meets accuracy and clarity standards, we’ll move straight into expanding the pip...

I want to create a personal-grade robotic solution for use in the home. My primary goal is purely robotic in nature: turning a concept into a working device that can move safely around a domes...functionality: autonomous navigation (basic obstacle avoidance), voice or app-based commands, and the ability to perform at least one practical task such as fetching light objects or providing room-to-room telepresence. • Hardware: I’m open to your recommended microcontroller or single-board computer, but it must be affordable and easy to source globally. • Software: preference for Python or C++ (ROS, OpenCV, or similar libraries welcome) so that future feature additions are straightforward. • Form factor: compact enough for apartments, aesthetically friendly, and safe a...

I want to create a personal-grade robotic solution for use in the home. My primary goal is purely robotic in nature: turning a concept into a working device that can move safely around a domes...functionality: autonomous navigation (basic obstacle avoidance), voice or app-based commands, and the ability to perform at least one practical task such as fetching light objects or providing room-to-room telepresence. • Hardware: I’m open to your recommended microcontroller or single-board computer, but it must be affordable and easy to source globally. • Software: preference for Python or C++ (ROS, OpenCV, or similar libraries welcome) so that future feature additions are straightforward. • Form factor: compact enough for apartments, aesthetically friendly, and safe a...

...single industrial or high-resolution USB camera points at the specimen. Your software must automatically detect the four reference marks I place on the cloth, both in the “before wash” and “after wash” images, and then calculate the change in X and Y with an accuracy of ±0.5 mm. The algorithm should work reliably on both knitted and woven textiles, even when the background and yarn colours vary. OpenCV (Python) contour / blob / template methods are fine as long as they meet the tolerance. • Desktop application on Windows A lightweight Windows executable is all I need. You are free to use PyQt, Tkinter or another GUI wrapper, as long as the installation is simple and offline-friendly. • Clear, text-based result display Once the second...

...connects to an existing AI vision and controller-input pipeline. The capture and input infrastructure is already in place. I do **not** need someone to build the HDMI capture system, YOLO detection, or basic controller communication. I need someone to build the actual **combat intelligence / decision-making layer**. ## Existing System The current pipeline is: **Console HDMI Feed → AI Vision / OpenCV + YOLO → Combat Logic → Titan Two / VIGEm → Virtual Controller Input → Console** Your job is to build the **Combat Logic / AIMBOT layer** in the middle. The vision system will provide detections through an existing API, including information such as target position, confidence, player state, and available combat information. Your system will process thos...

...experienced partner who can turn these concepts into a production-ready solution. What I’m after • Model research & selection: advise on the most suitable architectures (YOLO-v8, Faster R-CNN, DETR, or anything you feel is a smarter fit). • End-to-end development: data preprocessing, augmentation, training, validation, and hyper-parameter tuning using Python with TensorFlow or PyTorch plus essential OpenCV utilities. • Performance optimisation: achieve fast inference on both GPU and edge devices (CUDA / TensorRT knowledge is a big plus). • Deployment wrapper: export to ONNX or TensorFlow-Lite and integrate a simple API or demo app so I can test detections live. • Knowledge transfer: clean, well-commented code in a private repo, plus a...

Security footage requires a detailed forensic examination so the individual captured on-camera can be clearly identified. The raw video contains several moments where the face is partially visible, yet heavy compression, low lig...original vs. enhanced, synced for quick visual reference. Acceptance Criteria: • Each submitted still must show the subject’s face at a minimum of 720p resolution with improved contrast and minimal artifacts. • Report must reference all time-codes and include a brief methodology section that could stand up to legal scrutiny. Typical tools such as Amped FIVE, Adobe Premiere Pro, DaVinci Resolve, or OpenCV are welcome so long as it meets the clarity threshold above. Deliverables should be compatible with standard file viewers—no propr...

I am looking for an experienced Python developer with OCR, OpenCV, real-time screen monitoring, and Indian stock-broker API integration experience to develop a Windows-based automated trading application. The application will continuously monitor a selected rectangular area of my computer screen, where an NSE options tick table is displayed. The software must identify newly appearing tick rows, extract the information from the screen, convert it into structured market data, apply predefined trading conditions, and place trades through the broker's official API when all conditions are satisfied. The screen contains information such as: Time Instrument/Name Expiry CE/PE Strike price Reference value shown in brackets Rate Diff Quantity Value (Lk) For example: NIFTY 15 Sep 202...

The Goal: I need an expert Python/OpenCV developer to build a fast and precise card recognition bot for Pot Limit Omaha (PLO). The script will read all cards from a single application window. What I Will Provide: Marked-Up Screenshots: You will receive clear screenshots where I have visually marked the exact locations of: The 4 skewed hole cards. The 5 flat community cards. The target areas for mouse clicks. A Complete Card Template Library: A full set of 52 clean card images for perfect matching. Your Technical Responsibilities: 1. Data Extraction (Your First Task): Based on my screenshots, you will extract all necessary (X, Y) pixel coordinates and create a clean JSON configuration file. This is the data foundation for the script. 2. Hole Card Recognition (4 Cards - Perspectiv...

...mixed batch of images and PDFs and see enhanced previews within 5 seconds each. 2. Extraction accuracy must reach 95 % on clear prints and allow manual override for the rest. 3. Every approved record stores the raw file, extracted fields, operator ID and timestamp. 4. Any edit after approval updates the audit log without altering the original record. Preferred tech is flexible—Python, OpenCV, Tesseract, EasyOCR or similar on the back end, plus a lightweight React/Vue front end—but I’m open to alternatives if you can meet the accuracy, speed and traceability goals. SOLUTION EXPECTATIONS • Accurate enough for assisted capture; uncertain fields must be flagged with confidence scores. • Support multiple layouts without rebuilding the complete sys...

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...Keywords → Introduction → Literature Review & Research Gap → Methodology → Dataset & Experimental Setup → Experiments & Results → Comparative Analysis → Discussion → Limitations → Conclusion → Future Work → References The paper should include system architecture/workflow, literature comparison table, methodology diagrams, experimental tables/graphs, and relevant visual results. Technology Python, OpenCV, YOLO/PyTorch, ByteTrack/BoT-SORT or suitable alternatives. Pretrained models are acceptable; no need to build a model from scratch. Deliverables -Working prototype + source code -Experimental results -Tables/graphs/visualizations -Architecture/workflow diagram -Complete research paper -Proper academic referenc...

...functionality: autonomous navigation (basic obstacle avoidance), voice or app-based commands, and the ability to perform at least one practical task such as fetching light objects or providing room-to-room telepresence. • Hardware: I’m open to your recommended microcontroller or single-board computer, but it must be affordable and easy to source globally. • Software: preference for Python or C++ (ROS, OpenCV, or similar libraries welcome) so that future feature additions are straightforward. • Form factor: compact enough for apartments, aesthetically friendly, and safe around children or pets. Deliverables 1. Concept design with component list and estimated costs. 2. Schematics, wiring diagrams, and 3-D model files. 3. Firmware / software package w...

...— we want something working and reliable rather than over-engineered. Please propose your recommended tech stack (cameras, AI model/service, hosting, alerting method) as part of your bid, and break your price into phases: Camera/sensor integration + live feed AI detection layer (person/vehicle/animal classification) Alerting + dashboard Ideal freelancer: experience with computer vision (e.g. OpenCV, YOLO, or similar), IoT/camera integration, and comfortable working with a non-technical client to explain trade-offs (cost vs. accuracy vs. complexity). We're a small UK-based team moving from traditional in-person security guarding into AI-led monitoring, so real-world reliability matters more than flashy features....

We are an engineering firm looking to build a custom AI-powered CAD automation tool. The goal is to automate the drafting and compliance checking of...design passes a digital compliance check. Automated Output: Push the optimized data back into the CAD software to automatically draw standard symbols, field-of-view cones, wiring layers, and annotations. Required Tech Stack CAD/BIM Integration: Strong experience with Autodesk Platform Services (Forge), AutoCAD API (AutoLISP/.NET), or Revit API (C# or Python). AI / Spatial Computing: Python, OpenCV (or similar computer vision libraries), and algorithmic geometry for analyzing 2D/3D spaces. Previous Experience: You must have previously built plugins, scripts, or cloud apps that automate drafting or geometry generation inside CAD env...

...existing code, locate the flaw in the result-interpretation logic, and at the same time refine the overall algorithm so the readings become clinically reliable. Because I’m interested in both fixing the bug and improving the core method, you will be free to refactor, recalibrate, or even redesign parts of the analysis pipeline provided the camera capture and colour-extraction steps remain intact. OpenCV and native Android APIs are already integrated, so you will be working inside that framework. Key deliverables: • Diagnose and eliminate the logic error that produces incorrect results. • Rework the interpretation algorithm so that, when tested against my reference images, each parameter reports within the manufacturer’s stated tolerance. • Suppl...

...files used for recognition • Quick user guide and a short demo video that shows the bot clearing both minigames and collecting a day’s rewards Acceptance criteria • ≥100% success rate in detecting reward buttons across all tested devices (1080p & 720p) • <5 seconds average solve time for each maze or pick-pair round • No crashes after hours continuous looping Tools you pick are up to you—OpenCV, TensorFlow Lite, AutoInput, or a custom accessibility service are all fine as long as the end result meets the above metrics. Clear, fluent English is essential. When I’m online and i ask some when u get online and read it u will respond no leave me on read I expect prompt chat replies, and if something is complex I may request ...

...recognition of human faces and full-body figures. The core of the job is a clean, well-documented Python implementation that can take still images or short video clips and return bounding boxes, class labels, and confidence scores for each detected person. I already have test media and the computing environment; what’s missing is the detection logic itself—ideally leveraging familiar libraries such as OpenCV, TensorFlow, PyTorch, or a proven YOLO/SSD variant. Accuracy on varied lighting and crowded scenes is more important to me than sheer speed, but the code should still run in real time on a modern GPU. Deliverables • Python source code with clear inline comments • Pre-trained weights (or training notebook) and instructions for further fine-tuning ...

...estimation Those three features must fire quickly on-device (or via a lightweight cloud microservice if latency is acceptable) and return an easy-to-parse JSON result I can feed into future modules. The interface should feel modern and sleek with clean typography, subtle animations and dark-mode support. You’ll own the full stack—from selecting the best SDK (e.g., Apple Vision, Google ML Kit, OpenCV, or a custom model in TensorFlow Lite / Core ML) to wiring up the UI in Swift/Kotlin or a unified framework like Flutter or React Native, whichever yields the best performance. Source code, build scripts, documented APIs, and a testable release build for each platform are expected at hand-off. I have budgeted roughly £15 per hour; we can break that into clea...

...quality, handling augmentations, labeling inconsistencies, and packaging everything into tidy, well-documented datasets that flow straight into our training scripts. Most tasks live in the data-preprocessing and cleaning stage, so you should be comfortable writing reproducible code for resizing, normalization, class-balancing, and automated sanity checks. We currently use Python with Pandas, NumPy, OpenCV, and sometimes Albumentations; if you have a favorite toolkit that speeds things up, I am open to it as long as it’s clearly explained and container-ready. Once a batch is processed, you’ll push it to our Git-based repo and drop a short markdown report that lists what changed, any edge cases you spotted, and the commands needed to reproduce the run. Clean commits, ...

...seam/ghosting at the stitch line, no jittery panning). What this is NOT: we are not looking for a deep-learning/ball-detection/player-identification system. Classical CV techniques (homography, background subtraction, centroid tracking, Kalman/low-pass smoothing) are the right toolset here — please don't propose a large AI/ML infrastructure buildout. Ideal candidate: Strong hands-on experience with OpenCV (stitching, homography, background subtraction) Has shipped at least one real-time video processing project (not just offline/batch) Comfortable working with two-camera / multi-camera rigs and frame synchronization Bonus: experience with sports or surveillance camera systems...

...seam/ghosting at the stitch line, no jittery panning). What this is NOT: we are not looking for a deep-learning/ball-detection/player-identification system. Classical CV techniques (homography, background subtraction, centroid tracking, Kalman/low-pass smoothing) are the right toolset here — please don't propose a large AI/ML infrastructure buildout. Ideal candidate: Strong hands-on experience with OpenCV (stitching, homography, background subtraction) Has shipped at least one real-time video processing project (not just offline/batch) Comfortable working with two-camera / multi-camera rigs and frame synchronization Bonus: experience with sports or surveillance camera systems...

...seam/ghosting at the stitch line, no jittery panning). What this is NOT: we are not looking for a deep-learning/ball-detection/player-identification system. Classical CV techniques (homography, background subtraction, centroid tracking, Kalman/low-pass smoothing) are the right toolset here — please don't propose a large AI/ML infrastructure buildout. Ideal candidate: Strong hands-on experience with OpenCV (stitching, homography, background subtraction) Has shipped at least one real-time video processing project (not just offline/batch) Comfortable working with two-camera / multi-camera rigs and frame synchronization Bonus: experience with sports or surveillance camera systems...

...seam/ghosting at the stitch line, no jittery panning). What this is NOT: we are not looking for a deep-learning/ball-detection/player-identification system. Classical CV techniques (homography, background subtraction, centroid tracking, Kalman/low-pass smoothing) are the right toolset here — please don't propose a large AI/ML infrastructure buildout. Ideal candidate: Strong hands-on experience with OpenCV (stitching, homography, background subtraction) Has shipped at least one real-time video processing project (not just offline/batch) Comfortable working with two-camera / multi-camera rigs and frame synchronization Bonus: experience with sports or surveillance camera systems...

...networking libraries * Background threads / asynchronous API calls * Android permissions * image capture and image compression * error handling and retries * authentication/token handling * existing codebase review and modification Useful experience: * facial recognition applications * biometric attendance applications * Azure Face API * Python/FastAPI integrations * liveness / anti-spoofing systems * OpenCV * InsightFace / ArcFace * ONNX-based systems ## Important Clarification About Data Our existing employee/customer/business records are already maintained in our own systems/database. The main concern here is specifically the facial-recognition workflow. The Android developer should not redesign our general employee database unless required for integration. The new Pyth...

...connected • assign a reliability/confidence score to its assessment. sample dataset : i run the progam using cli, json output is fine All results should be written to a concise text report that I can easily parse or forward—feel free to suggest the most convenient plain-text structure. You’re free to use OpenCV, scikit-image, NumPy, or any other well-supported libraries so long as installation remains straightforward (pip/conda). Robustness matters more than raw speed: lighting changes, slight exposure shifts, and minor stitching artefacts are present in some files, so the algorithm should tolerate them without false positives. If you have experience matching viewpoints in panorama or VR imagery—and

Security footage requires a detailed forensic examination so the individual captured on-camera can be clearly identified. The raw video contains several moments where the face is partially visible, yet heavy ...enhanced, synced for quick visual reference Acceptance criteria • Each submitted still must show the subject’s face at a minimum of 720 p resolution with improved contrast and minimal artefacts. • Report must reference all time-codes and include a brief methodology section that could stand up to legal scrutiny. Typical tools such as Amped FIVE, Adobe Premiere Pro, DaVinci Resolve, or OpenCV are welcome so long as the final material meets the clarity threshold above. Finishing touches should be compatible with standard viewing software—no propri...

...entirely offline. The workflow is straightforward: 1. I open the program, browse my local folders, and pick any .mp4 file. 2. Before the scan starts, I set the frame-sampling rate—this could be every frame, every nth frame, or even a custom decimal rate such as 2.5 fps. 3. The app then performs object detection on those chosen frames. I do not mind which framework you use (YOLO, TensorFlow, OpenCV, ONNX, etc.) as long as everything is bundled so the tool works without an internet connection. 4. When the run finishes, the program produces a plain .txt sheet: one line per analysed frame containing the timestamp and the symbols / class names it detected. No other file formats are required. Deliverables • Stand-alone Windows executable (installer or portable)...

...or approved licensed technology. FIRST MILESTONE – PAID PROOF OF CONCEPT Deliver a working browser demo that: * Uses live mobile camera * Detects/tracks the head and ear * Places a virtual 2–4 mm stud on the earlobe * Keeps the stud reasonably anchored during head movement/rotation * Works on iPhone Safari and Android Chrome Possible stack: MediaPipe, , WebGL, , React, OpenCV, WebAR/WebXR or another recommended approach. If successful, developer may receive the full project including: * Multiple piercing locations * Multiple studs simultaneously * Jewelry/product catalog and SKUs * Ear and future nose visualization * Saved piercing looks * QR/customer-specific links * Multi-tenant customer accounts * Master admin dashboard * Customer activation/suspension * Usag...

...Face swapping on photos selected from the user’s gallery After a swap, users need a smooth way to share the resulting image or short video straight to their favourite social platforms via the standard system share sheets or integrated APIs. Performance and believability are key; I expect fast, well-aligned swaps that hold up under normal lighting and movement. You’re free to choose the toolkit—OpenCV, MediaPipe, ARKit/ARCore, or another reliable library—as long as the final builds pass store review and run well on current devices. Deliverables I’ll review: 1. TestFlight and Play Store internal builds demonstrating both swap modes and working social sharing. 2. Clean, documented source code with clear build instructions. 3. A brief hand-off...

...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,...

...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...