Computer Vision Freelance Jobs

We are seeking a skilled and experienced Machine Learning Engineer to lead a project focused on object detection using GAN or Yolo models. The primary goal of this project is to develop a robust system capable of detecting and counting the number of customers who visit our establishment daily. The successful candidate will work with a custom dataset provided by us, which includes images and corresponding annotations.

Responsibilities:
Develop and implement object detection algorithms using GAN or Yolo models.
Train and fine-tune the selected model on the custom dataset provided.
Conduct rigorous testing and evaluation of the trained model to ensure accuracy and reliability.
Optimize the model for real-time performance and scalability.
Collaborate with the team to integrate the developed solution into our existing infrastructure.

Requirements:
Proven experience in machine learning, particularly in the field of computer vision and object detection.
Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
Experience working with GAN or Yolo models for object detection tasks.
Strong programming skills in Python and familiarity with relevant libraries (e.g., OpenCV).
Ability to work with custom datasets and perform data preprocessing, augmentation, and annotation.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills.

Nice to Have:
Experience deploying machine learning models in production environments.
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud).
Knowledge of Docker and containerization technologies.
How to Apply:

If you are passionate about machine learning and have the skills required to tackle this exciting project, please submit your proposal outlining your relevant experience, approach to the task, and estimated timeline. Additionally, include any relevant portfolio or projects showcasing your expertise in machine learning and computer vision.

We look forward to collaborating with you to develop a cutting-edge solution for customer counting in our establishment.

This is a tutoring job to assist a university student in understanding the following topic:
This unit introduces fundamentals of deep learning and how it can solve problems in many areas, such as image classification, filter design and natural language processing. Neural networks are first described and how training can be achieved with backpropagation. Various forms of deep neural networks are developed, such as multilayer perceptrons, convolution neural networks and recurrent neural networks. The mathematics of stochastic optimization is used to interpret and understand the behavior and training of these networks. Programming approaches are discussed for training and deploying neural networks. Deep learning technologies and design examples are discussed in areas such as driverless cars, personal cognitive assistants and mastering of games such as GO.

On successful completion of the tutoring sessions, the student should be able to:
- Describe concepts and fundamentals of deep learning, such as the backpropagation algorithm and adversarial learning.
- Discern and appreciate various forms of deep neural networks, such as multilayer perceptrons, convolution neural networks and recurrent neural networks.
- Interpret and apply the mathematics of deep learning, such as stochastic optimization.
- Design deep learning solutions to problems in computer vision, natural language processing and signal processing. Examples are image classification, object detection, sequence modelling and filter design.
- Demonstrate the training and deployment of neural networks using a high level programming language.
- Appraise critically the sources of information and contents of scientific publications and choose relevant information.

The Tutor will review and support the student in his weekly quizzes and assignment to assure his understanding the topic and ready for it.

The following content will be used to assess the learner and check his understanding (all will be sent to the tutor to have a look at):
- 4 lab assessments to be done using python with the NumPy and matplotlib libraries
- 2 quizzes to test understanding
- 12 weekly practice questions to improve the understanding of mentioned objectives and topics
- 1 Assignment done near the end of the sessions

All related materials (lecturers, presentations, topics, etc) for the topics of the unit will be given to the tutor per week for a duration of 12 weeks.

I am seeking an expert in deep learning and computer vision to create a real-time virtual try-on system for a web platform.

Key Features:
- The system should allow users to try on a range of clothing items virtually.
- The experience should be real-time, offering a seamless try-on experience.

Skills and Experience:
- Proficiency in deep learning technologies, particularly for image processing.
- Strong background in computer vision and experience with virtual try-on systems.
- Prior experience developing web-based applications is a plus.
- A keen eye for detail and a creative approach to problem-solving will be highly valued in this project.

Create a Model (Python):
We have segmentation dataset of lot of images.
We need to convert those images into 3d model.
Create a website/Mobile app:

We need to create a website which will show all images in grid view.
On click of image it will open camera
camera should capture video of user. While capturing 3d model of that image (t-shirt) should be put on user body.

Skills: Django, Machine Learning (ML), Computer Vision, Deep Learning, Convolutional Neural Network

We are in need of a skilled AI Product Recognition Interface Developer to assist us in building an interface that utilizes cameras and AI technology to identify products in-store. This project requires expertise in computer vision, machine learning, and software development. The successful candidate will be responsible for developing and implementing algorithms to accurately recognize and classify products based on real-time camera data. Additionally, they will be required to design an intuitive user interface that displays the identified products and relevant information. The ideal candidate should have experience working with AI frameworks, excellent problem-solving skills, and a strong attention to detail.

We are a leading technical development firm specializing in AI and ML research and development. We provide custom deep learning models tailored to our clients' needs, typically built from scratch with minimal reliance on off-the-shelf packages. Our projects often involve sourcing open-source codebases from GitHub, related to state-of-the-art research papers from top-tier machine learning conferences. We meticulously review and modify the source code to develop bespoke models.

We are seeking computer vision experts for long-term, full-time collaborations, with a potential commitment of more than 40 hours per week.

Key Responsibilities:

Modify code from scratch and thoroughly read open-source codebases on GitHub.
Fix challenging bugs in large codebases.
Read highly technical research papers and replicate the research.
Conduct root cause analysis and enjoy the problem-solving process.
Perform independent research.
Utilize traditional computer vision methods using OpenCV and understand their methodologies.
Fine-tune large language models (LLMs).
Requirements:

Proven experience in modifying and developing code from scratch.
Strong ability to understand and navigate open-source codebases.
Expertise in debugging and resolving complex issues in large codebases.
Proficiency in reading, understanding, and replicating advanced research papers.
Strong problem-solving skills and enjoyment of root cause analysis.
Capability to conduct independent research.
Familiarity with traditional computer vision methods and OpenCV.
Experience in fine-tuning LLMs.
If you are passionate about computer vision and AI, and enjoy working on challenging and innovative projects, we would love to hear from you.

Please answer the following questions in your application:

Describe your experience modifying code from scratch and working with open-source codebases on GitHub.
Share an example of a challenging bug you fixed in a large codebase.
Discuss your experience with reading and replicating technical research papers.
Explain why you enjoy the process of root cause analysis.
Provide an example of independent research you have conducted.
Detail your familiarity with traditional computer vision methods and OpenCV.
Describe your experience with fine-tuning LLMs.
Looking forward to your applications.

Best regards,

In brief, we're looking to build an iOS app that will involve camera use, user accounts, and tables/views.

There will be a computer vision model that our engineers will build and we'd appreciate your help with building the user facing mobile app part of it.

We'd like to move quickly as well (with understanding this is a basic prototype) so that we can elicit user feedback. Attachment includes ideal skills (don't have to have all of them).

Seeking a Computer Vision Engineer for a 10-hour consulting project. Must have experience with 3D cameras that can connect with Nvidia Jetson platforms. Tasks include camera and lens evaluation, hardware integration, real-time image processing, and deploying optimized computer vision models using TensorRT. Ideal candidate should understand USB 3.0 interfaces and ensure accurate stock detection on shelves. Competitive hourly rate based on experience.

We are seeking a skilled developer to integrate additional camera models from various manufacturers into our existing software.

Project Details:

Integrate new camera models using provided access/code for current working integrations.
Ensure seamless functionality and compatibility across different camera models.
Collaborate with the team to troubleshoot and optimize camera integration performance.
Requirements:

Strong Programming Skills:

Proficiency in Python and C++.
Experience with network programming, particularly using the UDP protocol.
Understanding of Networking:

Knowledge of setting up and managing UDP sockets and handling packets (UDP vs TCP).
Familiarity with MQTT, including its QoS levels and operation.
Experience with Machine Learning and Computer Vision:

Ability to leverage computer vision models, preferably on edge computing (ML research experience not required, just usage).
Experience with TensorRT Python.
Understanding of Communication Protocols (Preferred but not Essential):

Understanding of RF communication and operating over low-bandwidth connections.
We look forward to finding a talented developer to join our team and enhance our camera integration capabilities.

We are seeking a skilled developer to integrate additional camera models from various manufacturers into our existing software.

Project Details:

Integrate new camera models using provided access/code for current working integrations.
Ensure seamless functionality and compatibility across different camera models.
Collaborate with the team to troubleshoot and optimize camera integration performance.
Requirements:

Strong Programming Skills:

Proficiency in Python and C++.
Experience with network programming, particularly using the UDP protocol.
Understanding of Networking:

Knowledge of setting up and managing UDP sockets and handling packets (UDP vs TCP).
Familiarity with MQTT, including its QoS levels and operation.
Experience with Machine Learning and Computer Vision:

Ability to leverage computer vision models, preferably on edge computing (ML research experience not required, just usage).
Experience with TensorRT Python.
Understanding of Communication Protocols (Preferred but not Essential):

Understanding of RF communication and operating over low-bandwidth connections.
We look forward to finding a talented developer to join our team and enhance our camera integration capabilities.

Hello, we are looking for someone experienced with touchdesigner / computer vision.

We have various video clips such as those of Indian dancers and want to add a layer of computer vision aesthetic on top of it with a rectangle tracking key elements and annotations

Please see reference attached

We want to explore styles like:

https://www.instagram.com/p/C9nkIruSQF7/
https://www.instagram.com/p/C9DMH6eubkD/


We are open to other styles that are inspired by computer vision / AI

We are looking for an expert in AI image generation to join our team. You will be responsible for developing and implementing cutting-edge algorithms to generate high-quality images using AI techniques. Your role will involve understanding client requirements, training machine learning models, and fine-tuning the algorithms to produce realistic and visually appealing images. The ideal candidate should have a strong background in computer vision, deep learning, and generative models. Proficiency in programming languages such as Python and experience with frameworks like TensorFlow or PyTorch is essential. Attention to detail and the ability to work independently are crucial. If you are passionate about AI and have a knack for creating stunning visuals, we would love to hear from you.

We are seeking a skilled Computer Vision Expert to join our team. The ideal candidate should have extensive knowledge and experience in vision systems, specifically with OpenCV and Python. As a Computer Vision Expert, you will be responsible for developing and implementing computer vision algorithms, analyzing and interpreting visual data, and optimizing performance. This role requires strong problem-solving skills and the ability to work independently. If you have a deep understanding of computer vision concepts, excellent programming skills, and a passion for cutting-edge technology, we would love to hear from you.

Relevant skills:
- Proficiency in Vision systems
- Knowledge of OpenCV
- Python programming
- Strong problem-solving skills

I'm looking for an expert to conduct an in-depth study on the role of AI in modern society. The study will focus on specific AI aspects such as Natural Language Processing, Machine Learning Algorithms, and Computer Vision.

Key points to consider:
- Conduct a comprehensive review of existing literature and studies on the various AI domains
- Analyze and synthesize the findings in a clear and concise manner
- Provide insights on the practical applications and implications of these AI technologies in our everyday lives
- Propose potential future directions and innovations in the field.

The ideal candidate for this project should:
- Possess a strong background in Artificial Intelligence and related technologies
- Have excellent research skills and the ability to synthesize complex information
- Be able to deliver high-quality work within a tight deadline.

Given the urgency of this project, I'm seeking someone who can start immediately and provide rapid yet thorough results.

Skills: Research, Technical Writing, Statistics, Research Writing, Statistical Analysis

I'm seeking a savvy freelancer to create a vision-based analytics system for my office building's CCTV cameras. This system will be the backbone for an interactive dashboard that can drive insights based on the captured footage.

The primary objectives of this project are:
- Develop an analytics solution that can perform customer behavior analysis based on the footage.
- Create a feature that can quantify the number of customers captured.
- Integrate these insights into a user-friendly, visually engaging dashboard.

Ideal Skills & Experience:
- Proficient in computer vision and analytics.
- Prior experience in building similar solutions for office or retail spaces.
- Knowledge of enhancing customer experiences and security through data analysis.
- Ability to design and implement a user-friendly dashboard.

Your work will significantly contribute to enhanced security measures and improved client experiences in our office building. I'm looking forward to reviewing your proposals.

Skills: Python, Machine Learning (ML), Data Science, Internet of Things (IoT), Embedded Systems

Request (1): Removal of water and dirt from in-vehicle camera images
- Background: In the rear camera (camera attached to the tailgate of the vehicle), water, rain, etc., rolls up from the tyres when driving and sticks to the camera lens, obstructing the visibility of the camera image on the monitor.
- What we want to do: Remove water, rain, etc. by processing on the video to make it look clear (using a mechanism similar to Google's ‘Eraser Magic’).

Request (2): Visualisation of water flow in video
- Background: In the development of new models, there is a test to check the flow of liquid into the mirror view through the side glass from the driver's seat when the wipers are activated. Currently, the flow of water is manually checked by shooting the actual object or video, and the flow is expressed by arrows on the report.
- What we want to do: by video (image) processing,
- Visualise the trajectory of the water flow.
- Obtain the inflow rate (area) to the mirror moderator area.
＊We want to optimise the processing time of the model in order to process it in real time.

You will be asked to answer the following questions when submitting a proposal:
- Please attach your proposal and reach this form: https://forms.office.com/r/YgUD2vRj2p

We're looking for an experienced Object Detection expert to analyze electroluminescence images of photovoltaic modules. The goal is to create an algorithm that accurately detects defects. The ideal candidate has a strong background in computer vision, machine learning, and image analysis. Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch is necessary.

Skills required:
- Object Detection
- Computer Vision
- Machine Learning
- Image Analysis
- Python
- TensorFlow or PyTorch

We're looking for an experienced Object Detection expert to analyze electroluminescence images of photovoltaic modules. The goal is to create an algorithm that accurately detects defects. The ideal candidate has a strong background in computer vision, machine learning, and image analysis. Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch is necessary.

Skills required:
- Object Detection
- Computer Vision
- Machine Learning
- Image Analysis
- Python
- TensorFlow or PyTorch

The Aultom Smart Store project aims to revolutionize the retail experience by integrating advanced technologies for seamless and efficient inventory management and customer service. The project leverages RFID technology, load cells, and computer vision to create a highly automated and intelligent store environment.

I'm looking for a proficient computer vision engineer with at least 5 years of experience in image detection and machine learning applications, including object detection, image segmentation, and facial recognition. You must be proficient in Python, with substantial experience using libraries and frameworks such as TensorFlow, PyTorch, YOLO and OpenCV. Knowledge of Nvidia Jetson Nano hardware platform is crucial for this project. Familiarity with Kafka and Docker is also desirable.

Ideal skills include:
- Proficient in Python programming for computer vision tasks
- Extensive knowledge and experience with TensorFlow, PyTorch, and YOLO
- Expertise in object detection, image segmentation, and facial recognition
- Experience of working with Nvidia Jetson Nano platform
- Familiarity with docker and kafka

This project will involve developing a robust, high-accuracy system that integrates seamlessly with the Nvidia Jetson Nano platform. You will leverage your advanced skills and knowledge in Python, TensorFlow, PyTorch, and YOLO to ensure the system's optimal performance.

Skills: Python, CUDA, Machine Learning (ML), Tensorflow, Pytorch

Pls provide samples of ur work related to similar projects
I am looking for an expert in data science and AI to assist with a 1-2 month project. I am designing a lightweight multimodal authentication system using EEG signals and iris. The datasets are decided on and available.

I am looking for someone with experience on:
1) Signal Processing (Since we are using EEG)
2) Basics in Computer Vision (For iris recognition)
3) AI using Python.

I am planning to test several fusion techniques (feature-level, score-level, etc.), and use GAN to increase dataset size.

Skills: Python, Machine Learning (ML), Data Science, Biometrics, Deep Learning

Pls provide samples of ur work related to similar projects
I am looking for an expert in data science and AI to assist with a 1-2 month project. I am designing a lightweight multimodal authentication system using EEG signals and iris. The datasets are decided on and available.

I am looking for someone with experience on:
1) Signal Processing (Since we are using EEG)
2) Basics in Computer Vision (For iris recognition)
3) AI using Python.

I am planning to test several fusion techniques (feature-level, score-level, etc.), and use GAN to increase dataset size.

Skills: Python, Machine Learning (ML), Data Science, Biometrics, Deep Learning

Seeking a skilled Machine Learning Engineer to fine-tune a Stable Diffusion model using Low-Rank Adaptation (LoRA) for a set of fashion outfits.

Key tasks
- Fine-tune a Stable Diffusion model using LoRA for specific fashion outfits.
- Preprocess and annotate a dataset of fashion images, ensuring high-quality inputs for training.
- Implement and optimize low-rank adaptations to improve model efficiency and performance.
- Collaborate with the fashion team to understand requirements and refine model outputs.
- Evaluate model performance and make necessary adjustments to improve accuracy and realism.
- Document the development process, providing clear and detailed reports on model improvements and outcomes.

Requirements
- Proven experience in machine learning, specifically in training and fine-tuning diffusion models.
- Strong understanding of Low-Rank Adaptation (LoRA) and DORA techniques.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Experience with image processing and computer vision tasks.
- Familiarity with fashion datasets and an understanding of fashion image nuances.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication skills to effectively collaborate with cross-functional teams.
- A portfolio of previous machine learning projects, preferably related to image generation or fashion technology.


Computer vision AI tracking food inspection

https://viso.ai/why-viso-suite/#platform

would like to utilize existing IP based camera (NEST or any vision camera. https://www.jai.com/products/sw-4010q-mcl to evaluate food passing on the production line to make sure they are feeding it correctly and no gaps or space and there is correct form. the attached picture is a machine that takes the food and creates 3 lanes. the people no matter how many times we train can't seem to feed it properly so we need to monitor when it starts to break down so we can trigger a loud sound or red light to go off to alert we can see they are not doing it properly so they learn others will be alerted something is off before it moves further down the lanes for cutting.

Attached photo 7-20 will show the gaps we are trying to avoid and track and make loud sound if it happens so operator fixes immediately and I can come out of the other room and find out who is not doing the job correct.

Building an ai chatbot for couple relationship couching

I want to build an ai web chatbot which acts as a couple relationship couch. This chatbot will have two main functionalities:

1. Able to store user input as memories - Here needs two ai agents, one (memory sentinel) to assess if the user input is relevant for relationship couching, output is strictly "False" or "True", and another ai agent (memory manager) is to manage the memory knowleddge base. When the memory sentinel tells the memory manager that the user input is relevant, the memory manager will condense it then decide to do one of the followings based on user input:
1. create a new knowledge point in the database
2. update one knowledge point in the database
3. delete one knowledge point in the database

2. Able to allow me as a developer to upload relationship papers/pdfs to the chatbot to increase domain specific knowledge. Here I want to use RAG to tackle this.

Then the flow of chatbot would be: after 10 times of user inputs, all the messages from the user will goes through memory sentinel, if the message is relevant to couple relationship couching, then the memory manager agent will condense the messages and list them as memory points and decide which action to take for each memory point. Accordingly the memory manager will update the knowledge database.

After these flows, it's time for the 3rd ai agent called couch master. The whole existing memory database will be prompt into the system prompt, also a rag retrieval from prepared vector database with relavant 5 messages, together with the recent 10 messages in the user session.

Regarding development. I am using Nextjs framework with an open source repo for chatbot ui (https://github.com/vercel/ai-chatbot/tree/main). For backend, I am using python to do the logic and use Flask api to integrate it into my nextjs framwork.

Here are some tech stack to be considered:
LLM to be used: memory sentinel: gpt-4o-mini; memory manager: gpt-4-turbo; couch master: gpt-4-turbo (Other open source model can be used but let's use openai's first
For embedding: consider: https://cohere.com/embed
Database for user input memory: graphql (not sure)
Vector Database for RAG: pinecone or supabase
For memory manager, you can use Langchain / langgraph
For auth: nextauth

LLM - NLP - RAG Pipeline – AI Agent Specialist with Python and React Skills to enhance AI Chatbots

Looking for a backend developer with exceptional Python and React skills.
Your expertise includes:
Reasoning in Natural Language Processing (NLP)
Backend Prompt Engineering
Data Cleansing - Preprocessing
Conversation Handler
Fine-tuning
Vector Embeddings
Embedding Models
Claude
OpenAI
Next.js
PostgreSQL
Facebook AI Similarity Search (Faiss)
AWS
In addition to the above, you possess top-level mathematical skills and are comfortable analyzing and understanding others' code quickly and efficiently (yes our code is clean).
We need passionate AI engineer with proven experience in building modern RAG applications for Conversational AI (Chatbot) systems.

Other attributes we are looking for:
Reliable, trustworthy, available!

AI Developer skilled in image processing, image training, and image generation model

Position Overview:

We need an AI Developer skilled in image processing, image training, and image generation models. The role involves designing, implementing, and optimizing algorithms for processing, analyzing, and generating images.

*Key Responsibilities:


* Develop and optimize image processing, image training, and image generation algorithms.
* Train and evaluate deep learning models for image tasks.
* Perform data preprocessing and augmentation.
* Collaborate with data scientists, engineers, and product managers.
* Stay updated with the latest AI and image processing technologies.


*Requirements:


* Proven experience as an AI Developer or similar role.
* Proficiency in Python and libraries like TensorFlow, PyTorch, or Keras.
* Knowledge of image processing tools such as OpenCV.
* Experience with image generation models (Stable Diffusion, OTT Diffusion).
* Familiarity with deep learning architectures (CNNs, GANs).
* Experience with cloud platforms (AWS, Google Cloud, Azure).
* Strong problem-solving skills and attention to detail.
* Excellent communication skills and ability to work collaboratively.
* 1-2 years of experience in AI development.
*Preferred Qualifications:*


Master’s or bachelor's. in Computer Science, AI, Machine Learning, or a related field.
Experience with TypeScript, MySQL, and big data technologies.
Familiarity with version control systems such as Git.

Why Join Lyn Media Group?

* Work on cutting-edge AI projects.
* Join a collaborative and supportive team.
* Opportunities for career growth.

AI Model Developer for Object Detection | Deep Learning | Drone Images

We are seeking a skilled AI model developer to assist us in building an advanced object detection model using deep learning techniques. The primary goal of this project is to develop a model capable of accurately detecting and localizing objects in images or video footage captured by drones. The successful candidate will have a strong background in deep learning algorithms, particularly in the area of computer vision.

Key Responsibilities 💪
- Design and implement a robust deep learning model for object detection
- Gather, preprocess, and annotate training data
- Train and fine-tune the model using appropriate neural network architectures
- Evaluate and optimize the model's performance

Required Skills ⚒️
- Proficiency in deep learning frameworks such as TensorFlow or PyTorch
- Strong understanding of convolutional neural networks (CNNs) and object detection algorithms
- Experience with image and video processing
- Familiarity with popular object detection models such as YOLO, SSD, or Faster R-CNN
- Excellent problem-solving and analytical skills

This is a medium-sized project with an estimated duration of 3 to 6 months. We are looking for a motivated AI model developer looking to further their skills who can deliver high-quality results within the given timeframe.

Please share your previous experience.
* This opportunity has the potential to develop into a longer term project or a full time employment role *

We are looking for a talented developer to help us create a cutting-edge model that can generate photorealistic and native videos. The ideal candidate will have a deep understanding of computer vision and machine learning techniques. This project requires expertise in video processing and image synthesis. As a developer, you will be responsible for designing and implementing the model, as well as optimizing it for real-time performance. The end goal is to achieve highly realistic and immersive video output. If you are passionate about pushing the boundaries of visual technology and have the skills to bring this vision to life, we would love to hear from you.

Skills needed:
- Computer Vision
- Generative AI
- Machine Learning
- Video Processing
- Image Synthesis

We are looking for a talented developer to help us create a cutting-edge model that can generate photorealistic and native videos. The ideal candidate will have a deep understanding of computer vision and machine learning techniques. This project requires expertise in video processing and image synthesis. As a developer, you will be responsible for designing and implementing the model, as well as optimizing it for real-time performance. The end goal is to achieve highly realistic and immersive video output. If you are passionate about pushing the boundaries of visual technology and have the skills to bring this vision to life, we would love to hear from you.

Skills needed:
- Computer Vision
- Generative AI
- Machine Learning
- Video Processing
- Image Synthesis

We currently have software that controls PTZ cameras based on targets tracked with video analytics. We are looking for a skilled developer to integrate additional camera models from various manufacturers.

Project details
-Integrate new camera models into our existing PTZ camera control software.
-Utilize provided access/code for current working integrations to develop new camera integrations.
-Ensure seamless functionality and compatibility with different camera models.
-Collaborate with the team to troubleshoot and optimize camera integration performance.

Requirements:
Strong Programming Skills

-Proficiency in Python, C++
-Experience with network programming, particularly using the UDP protocol.

Understanding of Networking:

-Knowledge of setting up and managing UDP sockets and handling packets (UDP vs TCP).
-Familiarity with MQTT, its QoS levels, and its operation.
-Experience with Machine Learning and Computer Vision:

-Ability to leverage computer vision models, preferably on edge computing (ML research experience not required, just usage).
-Experience with TensorRT Python.
-Understanding of Communication Protocols (Preferred but not Essential):
-Understanding of RF communication and how to operate over low-bandwidth connections.

Additional Skills:
Problem-solving skills and the ability to work independently.
Good communication skills to collaborate with the development team.

We are looking for an experienced Embedded Firmware Engineer to develop and optimize state of the art fusion firmware for a system combining Pi Camera and AWR1843 radar sensor, both connected to a Raspberry Pi board. The candidate should have a strong background in embedded systems (machine vision), real-time processing, and sensor fusion, with a focus on delivering high-performance, reliable firmware solutions.

Key Responsibilities:

Develop, test, and maintain embedded firmware for integrating Pi Camera and AWR1843 radar sensor with time stamp synchronization in Raspberry Pi
Implement sensor fusion algorithms to combine data from camera and radar as a single ouptut for enhanced performance.
Optimize firmware for real-time data processing and efficient resource utilization.
Collaborate with hardware and software details to define system requirements and interfaces.
Conduct debugging and troubleshooting to resolve firmware issues and ensure system stability.
Perform code reviews and ensure adherence to automotive industry standards and best practices.
Document firmware design, implementation, and testing procedures.

Preferred Qualifications:

Experience with image processing and computer vision basics.
Knowledge of radar signal processing especially TI radar boards .
Familiarity with C/C++ and Python for prototyping and scripting.
Experience with wireless communication protocols (e.g., Bluetooth, Wi-Fi).

Please send your resume in PDF format describing the projects you have worked on including the technologies used.

We are looking for an AI-Based Security System Enhancement Expert to improve our existing security system. The main focus will be on detecting mobile device usage and access to restricted areas. The expert will be responsible for developing and implementing advanced AI algorithms and machine learning models to enhance the accuracy and efficiency of the security system. The ideal candidate should have a strong background in artificial intelligence, deep learning, and computer vision. Attention to detail and problem-solving skills are essential. This is a medium-sized project with a duration of 3 to 6 months.

We need an experienced developer to create an Automatic Number Plate Recognition (ANPR) system. The system should extract text from number plate images and save it in a database.

*Requirements:*
- Proficiency in computer vision and OCR
- Experience with database integration
- Ability to develop a user-friendly interface

*Responsibilities:*
- Implement image processing for number plate detection
- Extract text using OCR
- Save extracted data to a database
- Develop a simple user interface for uploading images and viewing data

*Timeline:*
2 days

*How to Apply:*
Submit your proposal with relevant experience and examples of similar projects. Include your estimated timeline and budget.

Skills: PHP, Mobile App Development, C# Programming, Software Architecture, MySQL

We are looking for a skilled AI Product Recognition API Developer to create an API (Pref. Nestjs / typescript) that can accurately identify products in images and link them to a product database for matching. The API will need to leverage advanced machine learning algorithms to analyze the images and provide accurate results. The successful candidate will be responsible for designing and implementing the API, as well as integrating it with the product database. The ideal candidate should have a strong background in AI, machine learning, and computer vision, and should be proficient in Typescript. Strong problem-solving skills and attention to detail are also essential for this role.

Skills required:

- Computer Vision
- LLM
- Backend (Typescript)

Objective:*
Develop an Automatic Number Plate Recognition (ANPR) system to extract text from number plate images and save the data in a database.

*Scope:*
1. *Image Processing:*
- Use computer vision techniques to preprocess number plate images.
- Implement methods for accurate number plate detection and extraction.

2. *Text Extraction:*
- Apply Optical Character Recognition (OCR) to extract text from detected number plates.
- Ensure high accuracy in text recognition.

3. *Database Integration:*
- Design and implement a database schema to store extracted text data.
- Save extracted number plate information with relevant metadata (e.g., timestamp, image source).

4. *System Interface:*
- Develop a user interface for uploading images and viewing stored data.
- Ensure a user-friendly and responsive interface.

5. *Documentation:*
- Provide comprehensive documentation detailing system setup, usage, and maintenance.


*Deliverables:*
- Fully functional ANPR system with text extraction and database integration.
- Source code with comments.
- Detailed usage and maintenance documentation.

*Budget:*
Please provide your estimated budget for this project.

*How to Apply:*
Submit your proposal with relevant experience, examples of similar projects, and your estimated timeline and budget.

Skills: Engineering, Website Management, Web Hosting