OpenCV Freelance Jobs

We are looking a skilled mobile application developer to create a photo editing app that allows users to manipulate images, specifically focusing on real-time body shape modification.

For reference, please download an app
- iOS: https://apps.apple.com/us/app/prettyup-ai-body-editor-video/id1544211932
- Android: https://play.google.com/store/apps/details?id=com.accordion.prettyo&hl=en

There is a feature called "Auto: Hourglass" that let user to modify the body images in real time and we are looking to develop the same thing

You must have the experience previously and created something very similar before.

Before bidding, please show screenshots/videos for the work you have done before.

Skills: Android, iOS, Smartphone, Mobile App Development, Android App Development, OpenCV

I need a Python script that preprocesses images of identification cards so that Tesseract OCR can read and extract from it effectively.

The script should perform the following preprocessing tasks:
- Noise reduction: The images may contain noise that can hinder OCR accuracy.
- Resizing and cropping: The images need to be resized and cropped to a standard size for consistent OCR performance.
- Contrast and brightness adjustment: Some images may be too dark or too bright, which can affect OCR performance.

Ideal candidates for this project should have:
- Extensive experience with Python and image processing libraries like OpenCV or PIL.
- Familiarity with OCR tools, particularly Tesseract.
- Ability to write clean, efficient, and well-documented code.

Skills: Python, OCR, Image Processing

I want to apply segmentation in satellite images using the U-net model, on sentinel-2,

The most important thing for me is to explain how the application was done and understand it.

Skills: Python, Computer Vision, TensorFlow, PyTorch, Deep Learning, OpenCV, Machine Learning Model, Natural Language Processing, Tesseract OCR, Data Science, Machine Learning, Data Annotation, Accuracy Verification, OCR Algorithm, TensorFlow Stack

I am looking for an experienced app developer to help me build a picture search app that will allow users to upload an image and search for similar or matching images. The functionality should be similar to well-known apps like Google Images or TinEye, where users can easily upload images and receive search results of similar pictures.

The app should have a user-friendly interface, fast search capabilities, and should be able to handle a large number of images efficiently. Ideally, I would like the app to be scalable for future enhancements, such as advanced filters or custom features.

Requirements:
You must have prior experience developing a picture search app or image recognition tool similar to Google Images, TinEye, or other reverse image search apps. Please provide examples or links to previous work where I can see a similar functionality in action.

Skills:
* Expertise in image recognition technology or machine learning (such as using TensorFlow, OpenCV, or similar libraries)
* Experience with mobile app development (iOS and Android) and/or web development (depending on platform preference)
* Familiarity with cloud-based storage solutions for handling large image datasets
* API development experience (if applicable for custom integrations)

Responsibilities:
* Develop the core functionality of the picture search app.
* Build a responsive and intuitive UI for users to upload and search images.
* Implement and optimize image recognition algorithms for fast and accurate results.
* Ensure the app performs well with large-scale image databases.
* Provide ongoing support and updates after the initial release, if needed.

Preferred Skills:
* Knowledge of artificial intelligence (AI) and machine learning models for image recognition.
* Experience integrating with third-party image processing APIs.
* Ability to design a scalable app architecture for future growth.

Portfolio:
A portfolio of previous relevant work is required. Please share examples of apps or projects where you’ve implemented image search or similar functionality.

Budget:
Please provide a quote for the development cost based on your experience, as well as a breakdown of how long each phase of development might take.

Looking for an experienced mobile app developer fluent in AI services. You will colaborate with lead to launch mobile AI app within a 3 month period of time. Must sign NDA, details shared verbally once signed. US based developers preferred. IOS & Android preferred. Will start with one.

Task include, but not limited to:

- Revise layout of app flow
- Refresh design
- Integrate AI to collect and summerize info

Skills: OpenCV, Objective-C, Deep Learning, iOS Development, Computer Vision, Core ML, Swift, Machine Learning, Artificial Neural Network, iPad App Development, Artificial Intelligence

We are seeking a talented and experienced development team to build a robust, multi-functional internet filter solution. The project will involve content filtering, user management, access control, a user portal, and subscription payment integration. The team will need to deliver a scalable, secure, and AI-powered system to meet the following requirements.

Key Responsibilities:
Content Filtering: Block inappropriate content using AI-powered scanning for images, text, and videos.
Access Control: Restrict access to blocked content and apps with admin approval.
User Portal: Develop web and mobile interfaces for users to manage accounts, settings, and subscriptions.
Payment Integration: Implement subscription-based payment plans with automated payment options.
Admin Dashboard: Create tools for managing user access, content filtering settings, and analytics.
Required Skills:
Backend Development: Expertise in Python (Django/Flask) or Node.js for API development.
AI/ML Development: Experience with TensorFlow, OpenCV, Google Vision AI for content recognition and filtering.
Frontend Development: Proficiency in React (web) and Flutter (mobile).
Database Management: Strong experience with PostgreSQL or MongoDB.
Cloud & Security: Knowledge of AWS/Google Cloud, SSL, and secure authentication.
Payment Gateway Integration: Experience with PayPal, Stripe, etc.
UI/UX Design: Ability to design intuitive and user-friendly interfaces.
Real-Time Analytics: Experience with logging and reporting for usage and blocked attempts.
Desired Experience:
Experience with building scalable systems that support thousands of users.
Ability to handle end-to-end development (design, development, testing, deployment).
Proven track record of delivering projects on time and communicating progress effectively.
Ability to work with a variety of stakeholders to align on project goals.
Budget:
Flexible, based on experience and project scope. We are open to discussions around the project budget based on the resources and expertise needed to complete the solution.

Timeline:
To be discussed. Timely delivery and efficient work are crucial for this project.

If you're a qualified agency with experience in similar projects, we would love to hear from you. Please include the following in your proposal:

Your portfolio or previous relevant work.
A brief description of how your team would approach this project.
Your estimated cost and timeline.
We are looking forward to finding the right team to bring this project to life!

Skills: Web Development, JavaScript, Python, WordPress, PHP

I’m looking for an experienced consultant to guide the development of AI-powered software for camera system integration. Your role will involve providing strategic direction, advising on AI model architecture, hardware optimization, and system design to ensure scalability and efficiency.

You will help the team design AI models to detect activities like shoplifting and optimize the system to process up to 32 camera feeds. Your guidance will also be crucial in advising on hardware acceleration (e.g., NVIDIA GPUs), backend analytics, and the creation of user-friendly frontend interfaces.

If you have expertise in AI frameworks like OpenCV or TensorFlow, hardware optimization, and mentoring development teams, let’s connect to discuss how you can help shape this project’s success.

Skills: C++, Python, Internet of Things, C#, Machine Learning, Android, JavaScript, Java, Artificial Intelligence, API

Hi there,

We are seeking a skilled AI Engineer to develop and implement an advanced Theft Detection System. This role involves leveraging cutting-edge computer vision technologies to detect and prevent theft during two critical in-store scenarios: employee-related theft during checkout and customer theft while shopping. The system will incorporate behavioral analysis to identify suspicious activities and trigger real-time or near real-time alerts for store management or security teams.

This project requires expertise in both software development and hardware integration, with the potential to utilize pre-trained AI models or develop custom models as necessary.

Key Responsibilities:
- Design, develop, and implement a computer vision-based Theft Detection System to monitor employee and customer behavior in-store.
- Perform advanced behavioral analysis using AI models to detect and classify suspicious activities.
- Develop a system capable of generating real-time or near real-time alerts to notify store management or security teams.
- Conduct data preprocessing and prepare datasets for training and testing, including video feeds from in-store cameras.
- Evaluate the feasibility of pre-trained models for initial deployment and develop custom models to address specific scenarios when required.
- Integrate the system with existing store hardware (e.g., surveillance cameras) and ensure compatibility with security management systems.
- Collaborate with hardware engineers to identify and deploy optimal configurations for video capture, processing, and storage.
- Optimize model performance for real-time inference on edge devices or cloud-based platforms.
- Perform rigorous testing and validation to ensure accuracy, reliability, and scalability of the system.
- Stay updated with the latest advancements in computer vision, behavioral analytics, and AI technologies to continuously improve the solution.

Qualifications:
- 3+ years of experience in AI and machine learning with a focus on computer vision.
- Proven track record of developing real-time or near real-time AI systems.

Technical Skills:
- Proficiency in computer vision libraries and frameworks such as OpenCV, TensorFlow, PyTorch, or YOLO.
- Strong understanding of behavioral analysis algorithms and anomaly detection techniques.
- Experience with pre-trained models and fine-tuning them for specific use cases.
- Knowledge of video processing and frame-by-frame analysis.
- Familiarity with edge computing and deploying models on devices such as NVIDIA Jetson or Google Coral.
- Proficiency in programming languages like Python or C++.
- Experience with cloud platforms (AWS, Azure, GCP) for model deployment and scaling.

We are looking to develop an initial Proof of Concept (POC) for the above requirements. Candidates are requested to evaluate the project scope and provide a high-level time and cost estimate for developing the POC as part of their application. Thanks.

Skills: Artificial Intelligence, Object Detection & Tracking, Python, Computer Vision, Machine Learning

I am seeking a skilled Android Developer with hands-on experience in Jetpack Compose, Kotlin, and OpenCV to work on a dynamic project. The role involves developing innovative features and integrating advanced image processing capabilities.

If you have a strong background in Android development and are passionate about creating high-performance applications, we’d love to hear from you.

Key Requirements:
- Proficiency in Kotlin and Jetpack Compose
- Experience with OpenCV for image processing
- Ability to deliver clean, efficient, and scalable code
- Strong problem-solving and debugging skills

Skills: Mobile App Development, Android, Kotlin, OpenCV, Android Studio

Project Background:
I have implemented a pedestrian detection system based on the research paper "Efficient pedestrian detection in top-view fisheye images using compositions of perspective view patches." The project successfully handles most of the pipeline, with the final remapping step requiring optimization.
Completed Implementation:

Fisheye to Perspective View Conversion

Successfully implemented the transformation from fisheye images to multiple perspective views
Handles geometric distortion correction
Generates accurate perspective projections


Composite Image Generation

Created functionality to combine 8 perspective view images into a single composite
Implemented proper alignment and stitching of perspective views
Maintains spatial relationships between different views


Person Detection System

Integrated YOLOv8 for person detection
Successfully processes the composite image
Generates accurate bounding boxes in the perspective view space



Current Challenge:
The final step requiring expertise is the accurate remapping of detected bounding boxes from the perspective views back to the original fisheye image. While the initial implementation is complete, the results need optimization to achieve proper geometric accuracy.
Required Expertise:

Strong understanding of geometric transformations and camera models
Experience with fisheye camera calibration and perspective transformations
Proficiency in Python and OpenCV
Familiarity with YOLOv8 output format
Knowledge of homography matrices and coordinate system transformations

Deliverables:

Optimized Python code for bounding box remapping from perspective to fisheye view


Technical Environment:

Programming Language: Python
Key Libraries: OpenCV, YOLOv8
Source Research Paper: "Efficient pedestrian detection in top-view fisheye images using compositions of perspective view patches"
- Machine Learning
- OpenCV
- Python/C++ programming


I have attached fisheye image, composite image, and detected composite image, and my result for remapping bounding boxes

Skills: Computer Vision, Python, Machine Learning

I'm seeking a skilled professional to extract data from low-quality eFax PDF documents using various tools and techniques. This project primarily involves AI/ML data extraction, focusing mostly on text data.

Key Responsibilities:
- Utilize EasyOCR, pdfplumber, and OpenCV for document processing.
- Implement Next.js with Python, pdf.js, and Label Studio for annotation and user interface.
- Apply spaCy for Natural Language Processing and Named Entity Recognition (NER).
- Leverage PyTorch and Hugging Face's Datasets and Transformers within a machine learning framework.
- Store metadata in PostgreSQL.

Ideal Skills and Experience:
- Proficiency in OCR, PDF processing, and image handling.
- Strong background in Python and Next.js.
- Experience with spaCy, PyTorch, and Hugging Face's Transformers.
- Familiarity with PostgreSQL.
- Ability to work with low-quality documents.

The goal of this project is to facilitate AI/ML data extraction from these PDF documents. I look forward to receiving your bids.

Skills: OCR, Natural Language Processing, Natural Language Understanding

I am looking for a skilled developer to assist me in setting up a project from GitHub on my Window PC. The ideal candidate should be able to not only get the project running but also provide a clear, step-by-step walkthrough to help me understand the process.

This is the project: https://github.com/stevenshci/FacePsy

Please check the project before bidding.

Skills: GitHub, DevOps, Python, Android, OpenCV

I am looking for a skilled developer to assist me in setting up a project from GitHub on my PC. The ideal candidate should be able to not only get the project running but also provide a clear, step-by-step walkthrough to help me understand the process.

This is the project: https://github.com/stevenshci/FacePsy

Skills: GitHub, DevOps, Python, Android, OpenCV

Hello,

We're seeking a skilled C/C++ developer to help take our video processing application to the next level. This project focuses on forensics and enhancement, combining cutting-edge technology with a user-friendly design. While we have a functional Python prototype and a C/C++ foundation, our C version, with gui icons, is still very barebones, and we need your expertise to bring it to life with robust functionality!

About the Project
We're building a powerful video processing application aimed at professionals in forensics. Our goal is to create an intuitive yet feature-rich tool that combines real-time processing, plugin support, and advanced export options for a seamless user experience.

What We Have
✅ A Python prototype with:

Video playback and navigation
Real-time filter previews
Various video processing filters
Basic export capabilities
✅ A C/C++ foundation that includes:

Project structured using Qt
Some existing code—but it’s too barebones for practical use
GUI icons ready for implementation
Plugin system architecture planned
Framework for advanced export options
What We're Looking For
We need a talented developer to:

Build upon the current C version by implementing core functionality from the Python prototype.
Expand the application with advanced features like:
Plugin support for third-party filters.
Enhanced export options (e.g., H.264, Lossless, Raw).
Sophisticated timeline controls.
Improved zoom and navigation functionality.
Skills You'll Need
Strong proficiency in C/C++.
Experience with the Qt framework.
Knowledge of video processing (e.g., OpenCV or similar).
GUI development expertise.
Familiarity with CMake.

Skills: C Programming, Python, C++ Programming, Graphical User Interface (GUI), Digital Signal Processing

Hello,

We're seeking a skilled C/C++ developer to help take our video processing application to the next level. This project focuses on forensics and enhancement, combining cutting-edge technology with a user-friendly design. While we have a functional Python prototype and a C/C++ foundation, our C version, with gui icons, is still very barebones, and we need your expertise to bring it to life with robust functionality!

About the Project
We're building a powerful video processing application aimed at professionals in forensics. Our goal is to create an intuitive yet feature-rich tool that combines real-time processing, plugin support, and advanced export options for a seamless user experience.

What We Have
✅ A Python prototype with:

Video playback and navigation
Real-time filter previews
Various video processing filters
Basic export capabilities
✅ A C/C++ foundation that includes:

Project structured using Qt
Some existing code—but it’s too barebones for practical use
GUI icons ready for implementation
Plugin system architecture planned
Framework for advanced export options
What We're Looking For
We need a talented developer to:

Build upon the current C version by implementing core functionality from the Python prototype.
Expand the application with advanced features like:
Plugin support for third-party filters.
Enhanced export options (e.g., H.264, Lossless, Raw).
Sophisticated timeline controls.
Improved zoom and navigation functionality.
Skills You'll Need
Strong proficiency in C/C++.
Experience with the Qt framework.
Knowledge of video processing (e.g., OpenCV or similar).
GUI development expertise.
Familiarity with CMake.

Skills: C Programming, Python, C++ Programming, Graphical User Interface (GUI), Digital Signal Processing

1. Liveness Detection Module

1. Liveness Detection Feature
Technical Requirements
1. Real-time Face Detection
o Implement continuous face detection algorithm
o Ensure stable face tracking within frame
o Validate face position and alignment
o Detect and reject face masks, sunglasses, or other occlusions

2. Dynamic Challenge Sequence
o Blink Detection
§ Track eye movements
§ Verify natural blink patterns
§ Reject static images or pre-recorded videos
o Head Movement Validation
§ Track face rotation to left (30 degrees)
§ Track face rotation to right (30 degrees)
§ Ensure smooth movement transition

o Active Color Reflection Test
§ Display random color sequence on screen
§ Analyze facial skin tone changes
§ Detect color reflection on face
§ Verify temporal color changes match display sequence

3. Final Photo Capture
o Capture high-resolution frontal face image
o Ensure no motion blur
o Verify proper lighting conditions
o Validate image clarity and quality
o Reject images with closed eyes


2. ID Card Verification Feature
Technical Requirements
1. Dynamic Card Detection
o Display adjustable white rectangle guide frame
o Implement real-time card edge detection
o Change border color to blue when card perfectly aligned
o Verify card dimensions and aspect ratio

2. Anti-Spoofing Verification
o Guide user to tilt camera 30 degrees left
o Transform rectangle guide to trapezoid shape
o Track card edges within trapezoid frame
o Ensure continuous card presence in frame
o Verify proper perspective transformation

3. Final Card Capture
o Capture high-resolution card image
o Validate image sharpness
o Check for glare or reflections
o Ensure complete card visibility
o Verify proper lighting conditions

Web Version Specifications
• Framework: React with WebAssembly OpenCV
• Browser Support:
o Mobile Safari iOS 14.0+
o Chrome for Android 80+
o Native Android Browser 80+
o HUAWEI Browser

• Features:
o Progressive Web App (PWA) capability
o Camera API integration
o Offline processing support
o Responsive design for all screen sizes
• Performance Requirements:
o Initial load time <3s
o Processing time <3s
o Memory usage control
o Same accuracy rates as native app


Technical Specifications
• Framework: React Native with TypeScript
• Computer Vision: OpenCV (No ML Kit/AI Kit dependency)
• Platform Support: iOS, Android, HarmonyOS
• Minimum Requirements:
o iOS 12.0 or later
o Android 6.0 or later
o HarmonyOS 2.0 or later
• Performance Metrics:
o 98% passing rate for liveness detection
o 98% accuracy for ID verification
o Processing time <2 seconds per verification
o Offline processing capability

Support & Maintenance
• 3 months post-deployment support
• Bug fixes
• Performance monitoring
Assumptions
• Client provides test devices for all platforms
• Client handles App Store/Play Store submissions
• Client provides ID card samples for testing
• Client handles data privacy compliance requirements

Skills: C Programming, Algorithm, React.js, OpenCV, React Native

1. Liveness Detection Module

1. Liveness Detection Feature
Technical Requirements
1. Real-time Face Detection
o Implement continuous face detection algorithm
o Ensure stable face tracking within frame
o Validate face position and alignment
o Detect and reject face masks, sunglasses, or other occlusions

2. Dynamic Challenge Sequence
o Blink Detection
§ Track eye movements
§ Verify natural blink patterns
§ Reject static images or pre-recorded videos
o Head Movement Validation
§ Track face rotation to left (30 degrees)
§ Track face rotation to right (30 degrees)
§ Ensure smooth movement transition

o Active Color Reflection Test
§ Display random color sequence on screen
§ Analyze facial skin tone changes
§ Detect color reflection on face
§ Verify temporal color changes match display sequence

3. Final Photo Capture
o Capture high-resolution frontal face image
o Ensure no motion blur
o Verify proper lighting conditions
o Validate image clarity and quality
o Reject images with closed eyes


2. ID Card Verification Feature
Technical Requirements
1. Dynamic Card Detection
o Display adjustable white rectangle guide frame
o Implement real-time card edge detection
o Change border color to blue when card perfectly aligned
o Verify card dimensions and aspect ratio

2. Anti-Spoofing Verification
o Guide user to tilt camera 30 degrees left
o Transform rectangle guide to trapezoid shape
o Track card edges within trapezoid frame
o Ensure continuous card presence in frame
o Verify proper perspective transformation

3. Final Card Capture
o Capture high-resolution card image
o Validate image sharpness
o Check for glare or reflections
o Ensure complete card visibility
o Verify proper lighting conditions

Web Version Specifications
• Framework: React with WebAssembly OpenCV
• Browser Support:
o Mobile Safari iOS 14.0+
o Chrome for Android 80+
o Native Android Browser 80+
o HUAWEI Browser

• Features:
o Progressive Web App (PWA) capability
o Camera API integration
o Offline processing support
o Responsive design for all screen sizes
• Performance Requirements:
o Initial load time <3s
o Processing time <3s
o Memory usage control
o Same accuracy rates as native app


Technical Specifications
• Framework: React Native with TypeScript
• Computer Vision: OpenCV (No ML Kit/AI Kit dependency)
• Platform Support: iOS, Android, HarmonyOS
• Minimum Requirements:
o iOS 12.0 or later
o Android 6.0 or later
o HarmonyOS 2.0 or later
• Performance Metrics:
o 98% passing rate for liveness detection
o 98% accuracy for ID verification
o Processing time <2 seconds per verification
o Offline processing capability

Support & Maintenance
• 3 months post-deployment support
• Bug fixes
• Performance monitoring
Assumptions
• Client provides test devices for all platforms
• Client handles App Store/Play Store submissions
• Client provides ID card samples for testing
• Client handles data privacy compliance requirements

Skills: C Programming, Algorithm, React.js, OpenCV, React Native

Job Description:
We are seeking a Computer Vision Engineer to develop a robust, accurate, and ultra-low compute pose tracking system for mobile devices using integrated facecams. The project will be developed in multiple phases, beginning with head pose tracking, followed by hand and finger tracking, and finally full-body pose tracking.

The solution must be highly optimized for real-time performance with ultra-low latency, running natively on mobile processors without requiring external hardware or cloud-based processing.

This application is designed for VR, so motion-to-photon latency must be minimized to ensure a smooth and immersive experience.

Project Phases:

Phase 1: Head Pose Tracking (Initial Focus)
1. Develop real-time head pose estimation with high accuracy and robustness.
2. Optimize for low compute overhead on mobile processors.
3. Minimize latency to ensure a seamless VR experience.

Phase 2: Hand & Finger Tracking
1. Extend the system to track hands and individual fingers with high precision.
2. Ensure robust tracking even in dynamic VR environments with occlusions.
3. Maintain low computational cost to support real-time execution.

Phase 3: Full-Body Pose Tracking
1. Implement real-time full-body tracking using standard mobile cameras.
2. Develop techniques to handle occlusions and movement variations.
3. Ensure motion-to-photon latency remains minimal for VR applications.

Key Responsibilities:
1. Develop and optimize a low-latency, lightweight pose tracking system for head, hand, and body tracking.
2. Ensure high accuracy and robustness under real-world conditions (low light, occlusions, varying angles).
3. Optimize for minimal compute usage, ensuring smooth performance on mobile processors.
4. Implement latency-reducing techniques to maintain real-time motion-to-photon responsiveness.
5. Test across multiple mobile devices and camera configurations to ensure broad compatibility.
Requirements:
6. Proven experience in computer vision, pose estimation, and real-time model optimization.
7. Strong understanding of motion-to-photon latency in VR applications.
8. Background in real-time image processing, keypoint tracking, and motion estimation.
9. Experience developing and optimizing CV models for mobile and embedded devices.
10. Prior work on gaze estimation, hand tracking, or full-body motion capture.

Additional Important Requirements:
1. An Independent Contractor Agreement (ICA) or Master Service Agreement (MSA), including personal identification details, will be required before starting work to protect both parties and safeguard mutual interests.
2. This project may involve communication outside of the Upwork platform to ensure efficient project completion.

Skills: OpenCV, Computer Vision, 3D Modeling, Image Processing, Python, Machine Learning

We are seeking a skilled developer to create advanced AI software for tracking hockey pucks during games. The system should utilize computer vision and machine learning algorithms to provide real-time tracking data. Ideal candidates will have experience in sports analytics, software development, and AI technologies. This project requires innovative problem-solving skills and the ability to work with real-time data inputs. If you are passionate about sports technology and have the expertise to deliver a high-quality tracking solution, we want to hear from you! I attached a file that has what we would like to track with Ai

Skills: Artificial Intelligence, Machine Learning, TensorFlow, YOLO, OpenCV, Keras

We are seeking a skilled developer to create advanced AI software for tracking hockey pucks during games. The system should utilize computer vision and machine learning algorithms to provide real-time tracking data. Ideal candidates will have experience in sports analytics, software development, and AI technologies. This project requires innovative problem-solving skills and the ability to work with real-time data inputs. If you are passionate about sports technology and have the expertise to deliver a high-quality tracking solution, we want to hear from you! I attached a file that has what we would like to track with Ai

Skills: Artificial Intelligence, Machine Learning, TensorFlow, YOLO, OpenCV, Keras

Job Overview:
We are looking for an experienced Flutter Developer to integrate a face recognition feature into our existing mobile application. This is a project-based freelance role that requires expertise in Flutter and familiarity with face recognition technologies or libraries.

Key Responsibilities:
Analyze project requirements and implement a face recognition feature in the app.
Research and recommend suitable face recognition libraries or APIs for seamless integration (e.g., TensorFlow Lite, Firebase ML Kit, etc.).
Ensure the feature works smoothly across Android and iOS platforms.
Optimize the implementation for speed, accuracy, and reliability.
Provide thorough documentation and support for the feature integration.
Requirements:
Strong experience with Flutter and Dart.
Proven track record of integrating third-party libraries/APIs into mobile applications.
Familiarity with face recognition technologies (e.g., OpenCV, FaceNet, TensorFlow Lite, or Firebase ML Kit).
Experience in handling device cameras and permissions in Flutter apps.
Knowledge of state management solutions (e.g., Provider, Riverpod, or BLoC).
Strong problem-solving skills and ability to work independently.

Skills: iOS, Android, Flutter, Mobile App Development

We are seeking a skilled developer to create a gesture recognition system that utilizes camera input to control cursor movement on screens. The system should accurately recognize hand gestures, translate them into screen coordinates, and trigger click events accordingly. The ideal candidate will have experience in computer vision, machine learning, and user interface design to ensure seamless integration and high responsiveness. Please provide examples of previous work related to gesture recognition or similar projects.

Skills: Python, OpenCV, mediapipe, Raspberry Pi Firmware

We are seeking a skilled developer to create a hand gesture recognition system that utilizes a camera to track hand movements. The system should be able to accurately move the cursor to match screen coordinates based on the recognized gestures and trigger a click event at those coordinates. The ideal candidate will have experience in computer vision, machine learning, and real-time processing. This is an exciting opportunity to work on innovative technology that enhances user interaction with devices.

Skills: Python, Machine Learning, Computer Vision, Arduino Firmware, mediapipe, OpenCV

We are seeking a skilled Python programmer to assist with processing drone imagery. The task involves identifying and circling specific features such as trees, termite mounds, and water points, as well as counting trees and insect spots within the images. Ideal candidates will have experience with image processing libraries and a keen eye for detail. If you are passionate about technology and environmental data analysis, we would love to hear from you!

Skills: Python, Image Processing, Machine Learning, OpenCV, Computer Vision

In this project, I'm aiming to substantially improve the accessibility of my web platform for visually impaired users. This will require developing automations to intelligently resize text content on the basis of the device's screen size, hence, enriching user experience for visually impaired visitors.

- Proficiency in JavaScript, HTML and CSS is essential for developing the resizing functionality.
- A comprehensive understanding of responsive web design principles is valuable.
- Experience with web accessibility standards (WCAG 2.1) and creating 'AAA' accessible content.
- Knowledge of screen readers and related assistive technologies will be an added advantage.

The ultimate goal is to empower visually impaired users with the freedom to adjust text size on their own terms, improving readability and accessibility. Let's build a web that's inclusive!

Skills: Python, Website Design, OpenCV, Deep Learning, OpenAI