Experimental Result of AUV-based Acoustic Tracking System of Sperm Whales

Camshift, namely "Continuously Adaptive Mean-Shift" algorithm, is an adaptive tracking algorithm. This algorithm is based on the color information to track the moving target in image sequence. In the simple background, this algorithm achieved a steady and current tracking effect. But in dynamic scene, the global motion caused by the camera, the background of the light and occlusion will affect the accuracy, or even lose the tracking of the target. In order to solve the above problem, this paper adjust the H component in HSV color space, as well use weighted color histogram to improve the Camshift algorithm, then combined with Kalman filter to track the target in the image sequence. The experimental result shows that this approach can track object stability and correctly in dynamic scene.

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Design and performance evaluation of a solar tracking panel of single axis in Colombia

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i4.pp2889-2898 ◽

2021 ◽

Vol 11 (4) ◽

pp. 2889

Author(s):

Hernando González-Acevedo ◽

Yecid Muñoz-Maldonado ◽

Adalberto Ospino-Castro ◽

Julian Serrano ◽

Anthony Atencio ◽

...

Keyword(s):

Performance Evaluation ◽

Electric Power ◽

Energy Production ◽

Behavior Pattern ◽

Mechanical Design ◽

Tracking System ◽

Experimental Result ◽

Solar Tracking ◽

Solar Tracker ◽

And Performance

This paper presents the mechanical design of a single axis solar tracking system, as well as the electronic design of a system that to record in real time the electric power delivered by the solar tracker and to evaluate its performance. The interface was developed in Labview and it compares the power supplied by the tracker with the power supplied by static solar panel of the same characteristics. The performance is initially simulated using Pv-Syst software, and later validated with the data obtained by the interface. As a result, the use of the solar tracker increases the power delivered by a minimum of 19%, and it can go as high as 47.84%, with an average in increase in power of 19.5% in the monthly energy production. This experimental result was compared with the simulation by Pv-Syst software and shows a difference of only 2.5%, thus validating the reliability of the simulation. This behavior pattern coincides with previous studies carried out for equatorial latitudes.

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Eye-in-Hand Robotic Gripper Vision Fusion for Object Recognition and Tracking

ASME 2019 28th Conference on Information Storage and Processing Systems ◽

10.1115/isps2019-7496 ◽

2019 ◽

Author(s):

Shih-Wei Liu ◽

Jen-Yuan (James) Chang

Keyword(s):

Object Recognition ◽

Human Resources ◽

Production Line ◽

Tracking System ◽

Target Object ◽

Experimental Result ◽

World Economic Forum ◽

The World ◽

The Future ◽

World Economic

Abstract With the development of Automation industry, a new industrial model has been born, and traditional human resources have gradually been replaced by machines. The World Economic Forum (WEF) pointed out in “The Future of Jobs Report 2018” that the world is experiencing a “workplace revolution”, which means that machine will play a more important role in the future. In response to this situation, in this paper, techniques for object recognition and tracking on a conveyor using eye-in-hand gripper are presented, which are useful in production line for automatic object classification. The eye-in-hand configuration is the most suitable for camera and gripper application because the camera coordinate is the same as the gripper coordinate. The main advantages of eye-in-hand configuration are as follow: (1) occlusion avoidance (2) intuitive teleoperation (3) image from different angles (4) simple calibration. The main difference with eye-on-hand configuration is that it may be out of view sight when the camera is too close to the object. The experimental result is using the eye-in-hand robotic gripper to establish a tracking system to chase the target object. Preliminary results show that the speed of the conveyor can be calculated and the moving distance between the robot and the object is very close after a period of time. It means that the tracking system is successful.

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