Analysis of dimensions of a product, its visualization as a 3D model & volume estimation, positively impact the operations of manufacturing department in an industry. In this paper, a system has been designed to integrate the proposed features like 3D reconstruction, dimensional analysis & support for manipulating the reconstructed model. Research was carried out to estimate the volume of objects using their virtual 3D model & allow the user to edit this model which later can be compared with the original object, for manipulation. The pictures of an object from different planes are captured and using image processing, it is reconstructed in 3D, which is used to estimate parameters like volume, surface area, maximum dimensions across different planes. This edited 3D model will be utilized for generating a binary file representing the changes. This system provides detailed information to the user along with flexibility, thus enhancing the way in which the manufacturing industry works, as it requires no manual input or interaction once the process begins.
With the population increasing exponentially, there has been a shortage of water in various countries. To help people manage water resources in an appropriate way, a water monitoring and management system needed to be built. Several invasive flow meters are present to cater to the problem but there exist several overhead expenses and issues with it. A good alternative for the above, a non-invasive flow meter, would be a more efficient solution. Though, some non-invasive flow meters exist, they’re expensive and unsuitable for use in some critical scenarios. So, a novel method and system, to calculate the rate of flowing water using audio-processing of the sound of flowing water, was developed. The system would be clamped on the surface of the pipe, unlike other systems which operate from inside the pipe. The flow meter developed using this method would only require a microphone on the sensor’s part, which will make it cost-effective. The process involves an algorithm that processes the sound of water using a microcontroller unit and then computes a single value which then depicts the range of flow rate. Further, using IOT analytics, future predictions and other important metrics would be displayed on a simple yet detailed user interface.
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