Most workplaces remain open 24*7 to serve their customers anytime and provide them value. Therefore employees and visitors always visit there, some for their daily work and some for interviews and consulting. It makes that environment busy, chaotic, un-enjoyable, and unsafe because it may be possible that an unknown person visits with wrong intentions. They can harm the infrastructure as well as the person. Therefore Video surveillance is necessary. One of the organizations’ major challenges is to identify, track and detect those anomalies and persons. Some other challenges of the workplace are:
Identification: Organizations cannot identify known or unknown people as a lot of people visit the workplace.
Paperwork: A lot of paperwork is required to handle their entry record.
No Anomaly Detection: Organizations are not able to detect any anomaly at workplaces
No Historical Tracking: Organizations cannot track or map if a person is visiting again and again.
Solution for Video Surveillance Dashboard
To solve these problems, the team came up with a solution to make workplaces productive and safe using AI and video analytics. The system detects a person; based on appearance. It recognizes the visitors or regular employees. Then accordingly, monitor access management, behavior analysis, anomaly detection, and alert to make the system more reliable. It analyzes crowd and presence management using self-learning analytics. Besides, it monitors suspicious activities and sends an alert to the respective authorities for the actions if encountered. Thus the system will monitor the whole process using video analytics.
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machine learning model for the video surveillance dashboard. Here you will get insights related to person authorization, behavior analysis, anomaly detection, and many more services. As for this, you can see the demo dashboards; from there, you will get the results that are generated from our machine learning model. Our model will provide you an accurate solution for computer vision.
Description of Surveillance Dashboard
Described below are the user stories of each dashboard respectively -
Here you will see the live feeds of the model detecting the person is authorized or unauthorized.
And you will also get information about the active people in the building for a particular time.
And the Number of people who left the building for a particular time.
You will see the live alert system for unauthorized persons who have given temporary access according to their purposes, like an interview and official visits in the building.
In the dashboard, you can see the time exceed for particular users according to their exceed time. They have to send the alerts accordingly to the user.
Here in these dashboards, you will get information about the purpose of visit for people here in the building more number of people came for the interview.
According to the month, the attendance ratio for males and females is more male than female. We can see the number of authorized and unauthorized persons and visitors from different-different areas of the building.
Here in this dashboard, you can see the people by their age group, and by using the areas slicer, you can see for the particular region the number of people detected. Also, you can see the people’s authorization by different-different areas and compare which areas have more visitors by choosing areas’ filters.
Here in this dashboard, you can see the time spent by each visitor in the building by selecting the user-id filter, and you can see the comparison of people’s authorization by their age group. How many people are authorized and unauthorized in the group? You can see the maximum number of people came in 41-60 age groups.
You can also see the authorization comparison according to time for prohibited areas in the building. Also, you can see an individual’s duration by selecting the user id that how much time he/she has come into the building.
Here you can also see the maximum number of people who came from which areas and the activities detected by different-different areas.
And the crowd of people doing which activity more in the building like in this dashboard can see more people doing smoking activity in the building. You can also see the maximum number of people gathered at the main gate compared to other areas.
End Customer Value
Here every tracking and authorization will cover in the system. The system is not getting only one type of authorization; firstly, the system will determine the authorized and unauthorized person. After that, the system will detect temporary and permanent authorization also.
The system will alert every camera when an unauthorized person crosses the camera; The system will also detect a person’s temporary and permanent authorization. The system will provide the real-time alert to every authority and a person who is coming under surveillance.
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