Visual C++ Freelance Opportunity

[Newjack]

We are seeking people knowledgeable in Visual C++ for a short term freelance technical documentation role. Role involves creating tests and testing methods to measure knowledge of the subject matter. For serious inquiries contact Jeff at jeffs@green-tree.com.

[ShamsulHuda]

please find enclosed a copy of my cv for your kind perusal.

CURRICULUM VITAE

M.A.SHAMSUL HUDA NO.2,BARATHI NAGAR
THIRUVALLUVAR ROAD
VALASARAVAKKAM
CHENNAI – 600 087

PHONE: 4862921
EMAIL:huda_muthaleef@yahoo.com


SKILL SUMMARY:

Sound Knowledge In C/C++/MFC.
Worked on various in-house projects in Visual Basic.
Good communication skills.

EDUCATION:

B.E from Crescent Engineering College, Chennai.
1989-93, Madras University.
Overall percentage – 61%

EXPERIENCE:

Currently working as Project Assistant in Central Electronic Engineering Research Institute (CEERI), Tharamani ,Chennai -113, ( a research centre affiliated to CSIR), since September 2000.

Worked as Software Executive in Calisys technology (P) Ltd from 96-2000

Worked as Technical Assistant in Klassic Industries (P) Ltd from 94-96



CURRENT PROJECT AT CEERI


IMAGE PROCESSING TECHNIQUES FOR FRUIT SORTER AND GRADER
(IMPLEMENTATION IN VC++)

Description of the proposed project work and its importance:

The project "Fruit Sorter and Grader" is designed using machine vision technology systems for the purpose of sorting and grading fruits. Some of the immediate parameters being analysed are size, shape, color, volume/weight, and diameter, externally visible damages and damage assessment.
Color based recognition / analysing is employed for object recognition and tracking in modern automated systems. The present day technological advancements fully exploit Machine Vision technology with advanced image processing /analysing software techniques. The system is being implemented using advanced smart digital CCD cameras, with appropriate electronics and advanced image analysis software. The system performs complex color analysis, comparable with human's vision but with far greater speed and reliability.
Images of the fruit are captured when passed on the conveyor. The CCD cameras positioned at specific locations are coordinated to capture various images so as to view the fruit's surface and obtain complete information from the fruit samples. Once the image of the fruit is captured it is subjected to image processing algorithms for sorting and grading of fruits. An advanced DSP hardware system is being employed for quality assessment of the fruits.

Objectives of research work:
Interest is increasing in the development of machine vision systems to replace human visual inspection. One of the major requirements in developing machine vision systems for sorting fruits and vegetables is the ability to analyze an image accurately and quickly. Although various methods (use of a solid state TV camera, line-scan camera, X-ray scanning, ultrasonic scanning, NMR imaging, etc.) can be used to obtain images of fruits and vegetables which show either external or internal features of certain quality factors, such as color, shape, disease, injury, and defects, it has been difficult in the past to process such images to extract the desired feature information at an acceptable speed. Recently, the declining cost and increasing speeds and capabilities of specialized computer hardware for image processing have made computer vision systems more attractive for use in automatic inspection and sorting of agricultural and food products. Many researchers have devoted considerable effort towards the development of machine vision systems for different aspects of quality evaluation and sorting of agricultural products. As a result, new algorithms and hardware architectures have been developed for high-speed extraction of features that are related to specific quality factors of fruits and vegetables. A number of sorting systems that use machine-vision techniques for evaluating external quality factors are commercially available. It is anticipated that high-speed image analysis techniques will play a key role in expanding the capability of X-ray and NMR techniques for internal quality evaluation of agricultural products.


PERSONAL PROFILE




NAME : M.A.SHAMSUL HUDA

SEX : Female

DATE OF BIRTH : 15-01- 72

FATHER’S NAME : M.Abdul Muthaleef

PERMANENT ADDRESS : No.2, Barathi Nagar,
Thiruvalluvar road,
Valasaravakkam,
Chennai – 600 087.

PHONE : 486 2921

DECLARATION:

I hereby declare that the above information is true and correct to the best of my knowledge and belief.




DATE: 06-JUL- 2001

STATION: CHENNAI (SHAMSUL HUDA)