Posts Tagged ‘electronic’

Top Five Freshers Jobs of the Week (12th – 18th September)

September 18, 2016

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Top Five Freshers Jobs of the Week (12th – 18th September)

Source: electronics forum
Top Five Freshers Jobs of the Week (12th – 18th September)

1. Graduate Engineering Trainee – Reliance Jio Off Campus Drive

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2. Engineer at Honeywell in Bangalore

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3. Embedded Systems Engineer at Tonbo Imaging

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4. ASIC Verification Engineer at Broadcom

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5. Application Engineer I (16A32029404) at Ansys

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The post Top Five Freshers Jobs of the Week (12th – 18th September) appeared first on Electronics For You.


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Top Five Freshers Jobs of the Week (12th – 18th September)

Source: electronics forum
Top Five Freshers Jobs of the Week (12th – 18th September)

1. Graduate Engineering Trainee – Reliance Jio Off Campus Drive

Click here


2. Engineer at Honeywell in Bangalore

Click here


3. Embedded Systems Engineer at Tonbo Imaging

Click here


4. ASIC Verification Engineer at Broadcom

Click here


5. Application Engineer I (16A32029404) at Ansys

Click here


 

The post Top Five Freshers Jobs of the Week (12th – 18th September) appeared first on Electronics For You.


$excerpt:n
Top Five Freshers Jobs of the Week (12th – 18th September)
electronic
Career Guidance, jobs, Resources
#Electronic
#CareerGuidance, #jobs, #Resources
Abhimanyu Rathore
MeetBaBa An Open Blog for Open Minded Readers

Source: electronics forum
Top Five Freshers Jobs of the Week (12th – 18th September)

1. Graduate Engineering Trainee – Reliance Jio Off Campus Drive
Click here

2. Engineer at Honeywell in Bangalore
Click here

3. Embedded Systems Engineer at Tonbo Imaging
Click here

4. ASI…

This Post Is Copied from http://www.meetbaba.com Visit This link for me interesting Stuff.

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Real-Time Multiple Colour Tracking

September 17, 2016

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Real-Time Multiple Colour Tracking

Source: electronics forum
Real-Time Multiple Colour Tracking

efy testedThis project uses the fundamentals of computer vision to track three different colours: red, blue and yellow. When you run this program, a camera window opens up along with the object detected by the webcam or a laptop camera. Colour detection is indicated by rectangular boxes around the objects along with the names of the colours: red, blue and yellow.

The program can be used in robotics to detect colours. It can also be used for driverless cars, traffic, vehicles, etc, besides the separation of different coloured objects using pick-and-place robotic arms.

Software

The project requires OpenCV_3.0, Python_2.7 and Numpy Python modules. OpenCV is a library used for computer vision. Flowchart of the program is shown in Fig. 1.

fig 172
Fig. 1: Flowchart of the program

Input from the camera is in the form of blue, green and red (BGR) colours, so we have to convert it into hue saturation value, or HSV. OpenCV usually captures images and videos in 8-bit, unsigned integer and BGR formats. Captured images can be considered as three matrices of blue, green and red with integer values ranging from zero to 255.

HSV colour space consists of three matrices, namely, hue, saturation and value. In OpenCV, value range for the three matrices is 0-179, 0-255 and 0-255, respectively. Hue represents colour, saturation represents the amount to which that colour is mixed with white and value represents the amount to which that colour is mixed with black.

RGB colour model describes colours in terms of the amount of red, green and blue. In situations where colour description plays an integral role, HSV colour model is often preferred over RGB model.

Since we implement HSV colour model in this project, first find HSV of red, blue and yellow. Here, take care that none of the values overlap with other colours. To achieve this, implement the following in the code.

The post Real-Time Multiple Colour Tracking appeared first on Electronics For You.


$excerpt:n
Real-Time Multiple Colour Tracking

Source: electronics forum
Real-Time Multiple Colour Tracking

efy testedThis project uses the fundamentals of computer vision to track three different colours: red, blue and yellow. When you run this program, a camera window opens up along with the object detected by the webcam or a laptop camera. Colour detection is indicated by rectangular boxes around the objects along with the names of the colours: red, blue and yellow.

The program can be used in robotics to detect colours. It can also be used for driverless cars, traffic, vehicles, etc, besides the separation of different coloured objects using pick-and-place robotic arms.

Software

The project requires OpenCV_3.0, Python_2.7 and Numpy Python modules. OpenCV is a library used for computer vision. Flowchart of the program is shown in Fig. 1.

fig 172
Fig. 1: Flowchart of the program

Input from the camera is in the form of blue, green and red (BGR) colours, so we have to convert it into hue saturation value, or HSV. OpenCV usually captures images and videos in 8-bit, unsigned integer and BGR formats. Captured images can be considered as three matrices of blue, green and red with integer values ranging from zero to 255.

HSV colour space consists of three matrices, namely, hue, saturation and value. In OpenCV, value range for the three matrices is 0-179, 0-255 and 0-255, respectively. Hue represents colour, saturation represents the amount to which that colour is mixed with white and value represents the amount to which that colour is mixed with black.

RGB colour model describes colours in terms of the amount of red, green and blue. In situations where colour description plays an integral role, HSV colour model is often preferred over RGB model.

Since we implement HSV colour model in this project, first find HSV of red, blue and yellow. Here, take care that none of the values overlap with other colours. To achieve this, implement the following in the code.

The post Real-Time Multiple Colour Tracking appeared first on Electronics For You.


$excerpt:n
Real-Time Multiple Colour Tracking
electronic
Engineering Projects For You, opencv, Python, Software Projects For You
#Electronic
#EngineeringProjectsForYou, #opencv, #Python, #SoftwareProjectsForYou
Abhimanyu Rathore
MeetBaBa An Open Blog for Open Minded Readers

Source: electronics forum
Real-Time Multiple Colour Tracking

This project uses the fundamentals of computer vision to track three different colours: red, blue and yellow. When you run this program, a camera window opens up along with the object detected by the webcam or a…

This Post Is Copied from http://www.meetbaba.com Visit This link for me interesting Stuff.


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