facerecognition

Hi, I have already worked on this project. I used matlab for face recognition and drowsiness detection in a car. Can you tell you that how many persons should be in database ? Looking forward to work on it. Thank you! Regards, Sajid

Hi, there! I am interested in your project. I have extensive experience in image processing and computer vision such as face and facial recognition, object detection, image recognition, pattern matching, image classification, real time object tracking and counting, ALPR and OCR using Python, OpenCV, CNN and Tensorflow Faster R-CNN, Mask R-CNN, YOLO, SSD Inception and SSD Mobilenet. As a developer with rich experience, I am confident about your project. I will provide perfect results in a short time. If you want to work with me, please feel free to contact me. Thanks.

Hi, I am a PhD computer engineer and I work on Deep Learning in my company. Currently I am working on a face recognition project using tensorflow, therefore I am very experienced with this topics. I know deep learning very well and I think I can do this job. The only requirement for me is that you provide me a labelled dataset that is suitable for the project and that you agree on the milestones. Thank you.

i'm a data scientist with a BS degree in computer science i will provide you all you need and end your tasks in the time you want me to achieve it. also i had years of experience in python. contact me if you need to discuss any other thing.

I have been working as data scientist for more than 4 years during which i implemented numerous machine learning algorithms to solve varied business problems. Moreover, to gain other domain expertise, i have been actively participating in online data science contests, out of which i won few as well.

I'm a Machine Learning enthusiast who is passionate about technology and in solving interesting problems. I always look forward to new challenges and experiences that can make a positive difference in people's lives. Currently I am in a project in which I am doing the same thing and I have both the solution i.e, Face Recognition and Drowsiness detection ready with me. Both the solution is very robust and easy to implement. The algorithm for Face Recognition is one shot and it can also recognize people that are also quite a distance from the camera. The drowsiness detector is also very accurate and results are pretty good. Both of these algorithms have been improved over time and is now production ready. you can get it now if you want.

I am an expert on Deep Learning for 3.5 years now and I have worked with a similar project on Distraction Detection which was accepted into the European Conference on Computer Vision. (Third biggest computer conference in the world.) I have kept a buffer period of 5 days in case something doesn't turn out right.

Hi, I have been working on Machine and Deep Learning based project. I have worked on Generative, Segmentation, Object Detection, classification model.I aslo have experience on robotics based project. Please let me know the details.

Respected Sir, I have 4.5 years of experience in Android development.I have developed drowsiness detection app. Surely I can develop your app within 5 days Regards, Rahul Patil

Hi good day! We provide smart driving solution which can help fatigue driving detection and identification in special cases such as poor light in the car, changing face angle and vehicle shaking. Fatigue driving detection: It has become an important hidden danger of car safety, which seriously threatens people's life and property safety. Our solution helps to accurately identify whether there is fatigue driving through the recognition of facial features, human eye line tracking and comprehensive algorithms. To ensure safe driving. Face Detection: Spot metering or focusing based on whether a face is detected, or assisting the intelligent monitoring device to distinguish between faces and other moving objects for intelligent alarms, etc. Face recognition: detects the face and determines whether it is a registered or authorized user to access the device or an automatic device. It can assist the public security and security system to monitor suspicious personnel and alarm in real time. Eye mouse: Control the device through eye and face movement. Please feel free to contact us and we can provide more detailed project information. Thank you.