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Прапор IRELAND
dublin, ireland
$25 USD / год.
Зараз тут 7:28 дп
На сайті з червня 19, 2015
1 Рекомендація

Muhammad Zeeshan S.

@mze5583fac62088c

 4,7 (40 відгуки(-ів))
6,1
6,1
98%
98%
$25 USD / год.
Прапор IRELAND
dublin, ireland
$25 USD / год.
94%
Завершених робіт
93%
В межах бюджету
97%
Вчасно
9%
Рейтинг повторного найняття

Computer Vision | Machine Learning | Robotics(ROS)

I have 3 years of experience along with a Master's in Robotics and Artificial Intelligence. I am currently working as an AI Specialist in a Silicon-Valley based company where I am a part of a team that is developing the state of the art solutions in Robotics and AI. I have done many projects in Computer Vision and Robotics using OpenCV, Pytorch, and TensorFlow frameworks. I know how to comply with industry standards and to achieve customer trust by providing high-quality work within the agreed timeline. I offer services in the following areas - Machine Learning/ Deep Learning Model Training and Optimization - Computer Vision (custom as well as pre-build model) - Robotics software development including Kalman FIlter implementation for State Estimation and Sensor Fusion. - Navigation Algorithms - Sensors: GPS, IMU, Lidar, Camera, RFID - Frameworks: Pytorch and TensorFlow - Languages: Python, C++, and Matlab
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Портфоліо

9507295
- Utilized and tested the deep-learning model to track the courser on the screen by tracking eyes using a simple camera. - Improved the performance and accuracy of the model by building multivariate regression model on the top of it after doing statistical analysis and feature engineering
Computer Cursor Control by Human Eye Tracking using webcam
9507267
The idea was to count the people going in and coming out of a retail store using just an ordinary RGB camera. YOLO tiny model was used to detect people in the frame and then the detections were passed to the SORT algorithm to track the object for better accuracy. In the end, a counting algorithm was written to see if a person is going in or out of the store.
People counting for a retail store using a single RGB camera
3610408
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
3550889
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
9507295
- Utilized and tested the deep-learning model to track the courser on the screen by tracking eyes using a simple camera. - Improved the performance and accuracy of the model by building multivariate regression model on the top of it after doing statistical analysis and feature engineering
Computer Cursor Control by Human Eye Tracking using webcam
9507267
The idea was to count the people going in and coming out of a retail store using just an ordinary RGB camera. YOLO tiny model was used to detect people in the frame and then the detections were passed to the SORT algorithm to track the object for better accuracy. In the end, a counting algorithm was written to see if a person is going in or out of the store.
People counting for a retail store using a single RGB camera
3610408
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
My client wanted me to do analog signal processing and analysis. This project had two major parts. The first was related to sampling, calculating Fourier spectrum, ESD and correlation. The second part was about modulation, demodulation and vestigial Filtering. The coding part was done in MATLAB. This project was completed 100% with in the stipulated deadline.
Digital Signal Processing using MATLAB
3550889
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing
This my Final Year Project. Drowsiness is one of the leading cause of deadly accidents. This is a hybrid system which detects the drowsiness of a driver in a non-intrusive manner. Only a single camera is placed in front of the driver and his drowsiness is detected in real time using image processing. Drowsiness is monitored by checking Eye Closure Rate, Head Pose Estimation and Lane Diversion System. When drowsiness reaches certain threshold an alarm system is triggered to awake the driver. The prototype was first made on MATLAB and then the complete code was converted to OpenCV C++ to run it on RaspberryPi. Support Vector Machine (SVM) was used to detect whether the eyes are closed or open. Some of the photos captured in real time are given.
Real Time Driving Assistant using Digital Image Processing

Відгуки

Зміни збережені
Показано з 1 по 5 із 40 відгуків
 Фільтрувати відгуки за:
4,4
$2 600,00 USD
image recognition AI ML solution
dsdsf sdaf asf sadf sadf
Machine Learning (ML)
T
Прапор Tomer P.
@tomerpol
•
1 year ago
5,0
$100,00 CAD
Code YOLOV4-5 (You Only Look Once) In PyTorch and LibTorch
Honestly, one of the most honourable people you could work with.
Python
Software Architecture
CUDA
C++ Programming
Computer Vision
M
Прапор Majed S.
@magicshakir
•
3 years ago
5,0
$130,00 USD
Project for Muhammad Zeeshan S. -- 2
Always on time.Highly recommended.
Matlab and Mathematica
Education & Tutoring
Microcontroller
Electrical Engineering
C++ Programming
+ ще 1
Аватарка користувача
Прапор Zeid S.
@zeidmoh
•
3 years ago
5,0
£2 500,00 GBP
Eye Tracking Algorithm Optimisation - Milestone 1
Very capable and competent ML specialist. Definitely recommend his services for complex tasks.
Data Science
S
Прапор Peter W.
@shoparappdev
•
4 years ago
5,0
$450,00 USD
Project 26974612 has been deleted
Zeeshan is professional and expert. he provide a very good quality job on sensor fusion. The communication was excellent. highly recommended.
Аватарка користувача
Прапор Khalid M.
@lamar99
•
4 years ago

Досвід роботи

Senior Robotics Engineer

Xavor Corpotation
лют. 2021 - Цей час
- Building state-of-the-art assistive robots to help the elderly in their daily life work. - Developing Perception of the robot including building models for object detection and tracking. - Developed the docker container-based architecture to integrate AI models and ROS nodes. - Implementing autonomous navigation using Azure Kinect DK and RPLidar with ROS

AI Specialist

Innowi Inc.
серп. 2019 - січ. 2021 (1 year, 5 months)
To build state-of-the-art solutions in Robotics and Artificial Intelligence.

R&D Engineer

Center of Water Informatics and Technology
черв. 2018 - серп. 2019 (1 year, 2 months)
1. Develop, install, and operate a portable embedded instrument suite capable of capturing atmospheric dynamics and chemistry of air pollution. 2. Implement and test an optimal sensor placement algorithm to capture maximum pollution information in a specified region. 3. Develop autonomous pollution driven algorithm for mobile vehicles to explore the underlying hidden pollution field. 4. Data Pre-processing and Analysis of air pollution at different locations in the Punjab province of Pakistan.

Освіта

MS Robotics and Machine Learning

Lahore University of Management Sciences, Pakistan 2017 - 2019
(2 years)

BS Electrical Engineering

National University of Computer and Emerging Sciences, Pakistan 2013 - 2017
(4 years)

Кваліфікація

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Coursera
2020
This qualification is about - Understanding industry best-practices for building deep learning applications. - Implementing and applying a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. - Understanding new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance - Implementing a neural network in TensorFlow.

Neural Networks and Deep Learning

Coursera
2020
This qualification is about building and testing Neural Networks from scratch using numpy, matplotlib and pandas libraries of Python. - Build, train and apply fully connected deep neural networks - Implement efficient (vectorized) neural networks - Neural network's architecture

Зв'яжіться з Muhammad Zeeshan S. щодо вашої роботи

Авторизуйтесь, щоб обговорити деталі в чаті.

Верифікації

Бажаний фрілансер
Особу верифіковано
Спосіб оплати верифікований
Номер телефону верифікований
Електронна пошта верифікована
З'єднано з Facebook

Сертифікати

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 82%

Топ-навички

Python 3
PCB Layout 3
Machine Learning (ML) 2
C++ Programming 2
Electronic Design 1

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