From the last decade starting from 2003 and onwards, the ratio of online students has increased by a large number and so does online lecturers. This ratio of online students increases from 3.2 million to 6.7 million in a short period of 5 years. There are 1000+ virtual universities in the world. In
The CamBot; A Robotic Cameraman for Videography using Computer Vision
From the last decade starting from 2003 and onwards, the ratio of online students has increased by a large number and so does online lecturers. This ratio of online students increases from 3.2 million to 6.7 million in a short period of 5 years. There are 1000+ virtual universities in the world. In order to produce online video lectures, the cameraman is the foremost need. Not every lecturer can afford services of cameraman and 24/7 availability is another issue. Putting the whole scenario in a box gives rise to the idea of a Cambot. Gimbals have been remarkable stabilizers in this area of digital media. But still they need man handling. This project is a robotic camera as name implies “CamBot”. It replicates a cameraman upto certain extent. It’s a mobile camera which tracks its target by adjusting its frame according to the target. Main focus of the project are the online lecturers. So CamBot is designed to remove the man handling and automate the videography techniques. To rectify these kind of ripples we introduced the idea of CamBot. CamBot can significantly make difference in editing techniques, stability and automation of mobile videography. As Its completely mobile and master controlled when needed. This project is a milestone in the field of digital media automation. It is based on computer vision and voice recognition. Both of the technologies are the branch of Artificial Intelligence. Basically this project is a new invention in its own category, there are no mobile camera of such type.
Voice commands is implemented by voice recognition for frame adjustment, capture image, recording & live streaming. In order to track targeted object, techniques of computer vision will be implemented on raspberry pi. Move mobile vehicle if targeted object gets out of 5 feet radius. Immobility is addressed through feedback from object tracking
CamBot has two main parts upper (camera stand) and lower(vehicle). Upper part has Raspberry pi 3b which is the main CPU of the whole system. In upper part Arduocam is interfaced with Raspberry pi, arduocam here acts as an input device. It provides data to the processor and processor acts accordingly send feedback to the servos and steppers. Servos and steppers are used here for pan tilt and 360? horizontal rotation respectively. The lower part is Arduino based with which dc motors of vehicle are interfaced. Arduino takes feedback from the raspberry pi as it’s the main processor of CamBot. Total size of the CamBot is 5ft, 2.5ft is static part and 2.5ft is movable vertically.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pi | Equipment | 1 | 6000 | 6000 |
| Raspberry Pi case | Equipment | 1 | 550 | 550 |
| arducam | Equipment | 1 | 20000 | 20000 |
| servo motor | Equipment | 1 | 600 | 600 |
| stepper motor | Equipment | 2 | 800 | 1600 |
| ardiuno | Equipment | 1 | 700 | 700 |
| dc motor | Equipment | 4 | 600 | 2400 |
| IR sensor | Equipment | 10 | 200 | 2000 |
| battery Backup | Equipment | 2 | 2500 | 5000 |
| CamBot structure | Equipment | 1 | 20000 | 20000 |
| TFT LCD | Equipment | 1 | 6500 | 6500 |
| jumper wire Sets | Equipment | 5 | 150 | 750 |
| Vehicles Cage | Equipment | 1 | 2500 | 2500 |
| motor driver IC | Equipment | 4 | 150 | 600 |
| labor and Print | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 79200 |
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