METHOD FOR COUNTING PEOPLE IN A DESIGNATED AREA

Abstract

ABSTRACT A method (100) for counting people in a designated area. Further, the method comprising capturing video data of the designated area using at least one camera. Further, the method (100) comprising the steps of processing the captured video data using a MobileNet SSD model to detect and identify individuals within the video frames. Further, the method (100) comprising the steps of tracking the detected individuals over time using a centroid tracking algorithm. Further, the method (100) comprising the steps of counting the number of individuals entering and exiting the designated area based on their movement across a predefined boundary. Further, the method (100) comprising the steps of providing real-time occupancy status based on the counted individuals.

Specification

Description:
FIELD OF THE DISCLOSURE
[0001] This invention generally relates to the field of environmentally friendly solvents, specifically focusing on the development and synthesis of novel green solvents derived from renewable sources. The invention aims to address the growing need for sustainable alternatives in chemical processes by providing methods for producing solvents that minimize environmental impact.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The increasing awareness of environmental issues and the need f , Claims:1. A method (100) for counting people in a designated area, the method comprising the steps of:
capturing video data of the designated area using at least one camera;
processing the captured video data using a MobileNet SSD model to detect and identify individuals within the video frames;
tracking the detected individuals over time using a centroid tracking algorithm;
counting the number of individuals entering and exiting the designated area based on their movement across a predefined boundary; and
providing real-time occupancy status based on the counted individuals.


2. The method (100) as claimed in claim 1, further comprising performing image pre-processing on the captured video frames, including converting the frames to grayscale, applying Gaussian blurring, and calculating the absolute difference between the current frame and a background frame to enhance the accuracy of the detection process.

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