1. DIP1401
HCL LEARNING LTD
Automation based Projects
APPLICATION OF ZIGBEE LOCATION TRACING
MONITORING SYSTEM FOR ATM DEVICE THEFT
USING
EMBEDDED
IEEE 2014
ABSTRACT EMB1401
More Info
Call @
9382207007,
9443558751.
ABSTRACT
As the society has been computerized and automated, the crime for
the ATM device is increased due to the wide distribution of ATM device,
even the banking is easy. The theft is shown over 90% the very high
proportion among the financial accident crime. With the social situation,
the study is going to suggest the method to react rapidly and minimize
the loss of damage by realizing the real time location; we want to
implement an accurate location tracking mechanism using Zigbee along
with GPS as a rapid reaction to the theft for external ATM equipment.
H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .
2. HCL LEARNING LTD
Automation based Projects
Vision-based Multimodel Human-Computer
Interaction using Hand and Head Gestures
USING
EMBEDDED
IEEE 2014
ABSTRACT EMB1402
More Info
Call @
9382207007,
9443558751.
Abstract:
Human–computer interaction (HCI) involves the study, planning, and
design of the interaction between people (users) and computers. In this
project, a real-time Human-Computer Interaction based on the hand
data glove for gesture recognition is proposed. One of the important
parts of our body is our hand which is most frequently used for the
interaction in Digital Environment and thus complexity and flexibility of
motion of hands are the research topics. To recognize these hand
gestures, more accurately and successfully, data glove is used.
H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .
3. HCL LEARNING LTD
Automation based Projects
[Type the document subtitle]
IEEE 2014
USING MATLAB ABSTRACT DIP1401
More Info
Call @
9382207007,
9443558751.
In this paper a novel, fast soft switching filtering technique intended for
impulsive noise removal in color images is presented. The impulsive
noise detection algorithm is based on the concept of trimmed cumulated
distances, which are assigned to the central pixel of a sliding filtering
window. The trimmed sum of distances serves as an indicator of the
strength of impulses injected to the image by the impulsive noise process
and the restored pixel is obtained as a weighted mean of the processed
pixel and the sharpening vector median filter output.
Keywords-impulsive noise removal, image enhancement.
H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .
4. HCL LEARNING LTD
Automation based Projects
[Type the document subtitle]
IEEE 2014
USING MATLAB ABSTRACT DIP1401
More Info
Call @
9382207007,
9443558751.
In this paper a novel, fast soft switching filtering technique intended for
impulsive noise removal in color images is presented. The impulsive
noise detection algorithm is based on the concept of trimmed cumulated
distances, which are assigned to the central pixel of a sliding filtering
window. The trimmed sum of distances serves as an indicator of the
strength of impulses injected to the image by the impulsive noise process
and the restored pixel is obtained as a weighted mean of the processed
pixel and the sharpening vector median filter output.
Keywords-impulsive noise removal, image enhancement.
H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .
5. HCL LEARNING LTD
Automation based Projects
[Type the document subtitle]
IEEE 2014
USING MATLAB ABSTRACT DIP1401
More Info
Call @
9382207007,
9443558751.
In this paper a novel, fast soft switching filtering technique intended for
impulsive noise removal in color images is presented. The impulsive
noise detection algorithm is based on the concept of trimmed cumulated
distances, which are assigned to the central pixel of a sliding filtering
window. The trimmed sum of distances serves as an indicator of the
strength of impulses injected to the image by the impulsive noise process
and the restored pixel is obtained as a weighted mean of the processed
pixel and the sharpening vector median filter output.
Keywords-impulsive noise removal, image enhancement.
H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .
6. HCL LEARNING LTD
Automation based Projects
[Type the document subtitle]
IEEE 2014
USING MATLAB ABSTRACT DIP1401
More Info
Call @
9382207007,
9443558751.
In this paper a novel, fast soft switching filtering technique intended for
impulsive noise removal in color images is presented. The impulsive
noise detection algorithm is based on the concept of trimmed cumulated
distances, which are assigned to the central pixel of a sliding filtering
window. The trimmed sum of distances serves as an indicator of the
strength of impulses injected to the image by the impulsive noise process
and the restored pixel is obtained as a weighted mean of the processed
pixel and the sharpening vector median filter output.
Keywords-impulsive noise removal, image enhancement.
H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .
7. HCL LEARNING LTD
Automation based Projects
[Type the document subtitle]
IEEE 2014
USING MATLAB ABSTRACT DIP1401
More Info
Call @
9382207007,
9443558751.
In this paper a novel, fast soft switching filtering technique intended for
impulsive noise removal in color images is presented. The impulsive
noise detection algorithm is based on the concept of trimmed cumulated
distances, which are assigned to the central pixel of a sliding filtering
window. The trimmed sum of distances serves as an indicator of the
strength of impulses injected to the image by the impulsive noise process
and the restored pixel is obtained as a weighted mean of the processed
pixel and the sharpening vector median filter output.
Keywords-impulsive noise removal, image enhancement.
H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .
