Logo de Freelancer Cómo funcionaBusca trabajos
Iniciar sesión Registrarse
Publica un proyecto
EXPLORAR
C++ Programming
Electronic Design
Machine Learning (ML)
PCB Layout
Python
Foto de portada de perfil
Ahora estás siguiendo a
Error al seguir a usuario.
Este usuario no permite que los usuarios lo sigan.
Ya estás siguiendo a este usuario.
Tu plan de membresía solo permite 0 seguimientos. Mejora tu membresía aquí.
Dejaste de seguir correctamente a
Error al dejar de seguir al usuario.
Has recomendado exitosamente a
Error al recomendar al usuario.
Algo salió mal. Por favor, actualiza la página e intenta de nuevo.
Email verificado correctamente.
Avatar del usuario
$25 USD / hora
Bandera de IRELAND
dublin, ireland
$25 USD / hora
Aquí son las 5:51 p. m.
Se unió el junio 19, 2015
1 Recomendación

Muhammad Zeeshan S.

@mze5583fac62088c

 4,7 (40 comentarios)
6,1
6,1
98%
98%
$25 USD / hora
Bandera de IRELAND
dublin, ireland
$25 USD / hora
94 %
Trabajos finalizados
93 %
Dentro del presupuesto
97 %
A tiempo
9 %
Tasa de recontratación

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
Freelancer Python Developers Ireland
Ver todo Python Developers en Ireland

Contacta Muhammad Zeeshan S. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Portafolio

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

Comentarios

Cambios guardados
Mostrando 1 - 5 de 40 reseñas
 Filtrar reseñas por:
4,4
$2.600,00 USD
image recognition AI ML solution
dsdsf sdaf asf sadf sadf
Machine Learning (ML)
T
Bandera de Tomer P.
@tomerpol
•
hace 11 meses
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
Bandera de Majed S.
@magicshakir
•
hace 3 años
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
+1 más
Avatar del usuario
Bandera de Zeid S.
@zeidmoh
•
hace 3 años
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
Bandera de Peter W.
@shoparappdev
•
hace 4 años
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.
Avatar del usuario
Bandera de Khalid M.
@lamar99
•
hace 4 años

Experiencia

Senior Robotics Engineer

Xavor Corpotation
feb 2021 - Presente
- 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.
ago 2019 - ene 2021 (1 año, 5 meses)
To build state-of-the-art solutions in Robotics and Artificial Intelligence.

R&D Engineer

Center of Water Informatics and Technology
jun 2018 - ago 2019 (1 año, 2 meses)
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.

Educación

MS Robotics and Machine Learning

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

BS Electrical Engineering

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

Calificaciones

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

Contacta Muhammad Zeeshan S. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Verificaciones

Freelancer preferente
Identidad verificada
Pago verificado
Teléfono verificado
Email verificado
Facebook conectado

Certificaciones

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

Principales habilidades

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

Explorar freelancers similares

Python Developers in Ireland
Python Developers
PCB Layout Designers
Machine Learning Experts

Explorar galerías similares

Python
PCB Layout
Machine Learning (ML)
C++ Programming
Usuario anterior Usuario siguiente
¡Invitación enviada correctamente!
¡Gracias! Te hemos enviado un enlace para reclamar tu crédito gratuito.
Algo salió mal al enviar tu correo electrónico. Por favor, intenta de nuevo.
Logo de Freelancer Colombia / Español Ayuda y soporte Freelancer CategoríasProyectos Concursos Freelancers Empresarial MembresíaPrograma de Freelancers Preferentes Gestión del proyecto Trabajos localesPhoto Anywhere GaleríaAPI para desarrolladoresVerifícate Software de escritorio Información Quiénes somos Cómo funciona Seguridad Inversionista Mapa del sitio Historias NoticiasEquipoPremiosComunicados de prensaEmpleos Términos Política de privacidadTérminos y condicionesPolítica de derechos de autorCódigo de conductaCargos y TarifasSociosEscrow.comLoadshiftWarrior Forum Apps Logo de "App Store" de AppleLogo de Google Play
Falló el copiado al portapapeles. Intenta de nuevo después de ajustar tus permisos.
Copiado al portapapeles.
Usuarios registrados Total de empleos publicados
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Cargando visualización previa
Permiso concedido para Geolocalización.
Tu sesión de acceso ha expirado y has sido desconectado. Por favor, inica sesión nuevamente.