Automated Image Processing Technique For Floor Surface Detection - 16/04/2018 00:47 EDT

RM99-825 MYR

Zaprt

Objavljeno

pred približno 6 leti

RM99-825 MYR

Plačilo ob dostavi

automated floor surface detection using image processing technique. This project is to develop a new way of warning people about their walking path pedestrian so that this system will assist the user and notify them if it is wet, dry, and sandy. The outcome is expected to prevent any slip or fall occurs by providing early notification. Different conditions of floor images were captured using Time of Flight camera. The image has then been trained using Convolutional Neural Network method to classify different floor condition. Then CNN is trained to extract high-level features descriptors to classify different types of floor conditions with 91% accuracy

Algorithm

C Programming

C++ Programming

Machine Learning (ML)

Matlab and Mathematica

ID projekta: 16708870

Več o projektu

6 ponudb

Projekt na daljavo

Aktivno pred 6 leti

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6 freelancerjev je oddalo ponudbo s povprečno vrednostjo RM711 MYR za to delo

@amolupraity

Hi, I have more than 4 years of experience in Machine Learning and Image processing and this task will be completed within the proposed deadline.

RM513 MYR v 3 dneh

4,9

(19 ocen)

3,8

@dshyam91

Have been working on image processing using opencv and python from quite many days i hope i can provide you an python based GUI app which can tell about the floor or not, or i can code you in C which you can use for your custom app its your wish, i can suggest you an better approach also if its any handheld device or so kindly reply with much detailed requirements

RM400 MYR v 3 dneh

5,0

(2 ocen)

1,4

@MohsinAshiq1

Hello dear, I have a lot of experience in Computer Vision applications / image and video processing in mobile and windows applications, My Team experience includes Port Based container Damage detection Software: detecting damaged container and keeping record and report of containers movement, Driver fatigue detection using raspberry pi which in a matter of milli seconds determines if the driver is sleeping or not and alarm accordingly using OpenCV, Vehicle counting in the particular category they belong to on a high speed road, number plate recognition using OCR algorithm of openCV, face detection and recognition for attendance system of a school and patient management system of a medical system. In short We have all the experience needed to complete the project with maximum accuracy. I will be waiting for your kind response. Regards

RM750 MYR v 3 dneh

5,0

(1 ocena)

0,5

@phalikishk

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RM777 MYR v 3 dneh