This project was created for the UNCC MEGR 3171 IOT Project.
If you have ever seen the movie Bad Santa, you know that store security can be easily tricked by intruders if they are able to hide in the store once it closes. Our team has come up with a "invisible turnstile" that can be implemented in stores or businesses to keep track of the amount of people that are inside.
Part 1Utilizing IoT and the expansive capabilities that it holds, our team designed a measuring system that is able to count the number of people that enter and exit a store, with the ability to observe and analyze this data in real time with internet connected devices.
The main task of the Intrudalert is to alert store employees if there is still someone in the store at closing time. At the end of the business day, the amount of people in the store should be the exact amount of employees that are still present. If you count more people than the number of employees, then that means that either someone left through the roof, or, the more likely scenario, there is still someone in the store. Once this information is known, the employees can then check the typical places where customers might be, such as the dressing room or bathroom. But, if these locations are inspected, and no one is found, then an intruder is likely present, and preventative actions can be taken to prevent theft.
The secondary task of the Intrudalert is to capture real time data of the store's activity. Need help deciding how many employees you need and when they should work? Use the Intrudalert to determine the peak times in the store when it is the busiest. Want to improve customer satisfaction? The Intrudalert notifies when a customer enters the store, and an available salesperson can immediately greet the customer at the entrance.
Part 2This is the Intrudalert set up in our house, it was collecting data on the number of people in our living room.
Each of the two PIR sensors were positioned to trigger when someone walks into the field of vision, which is defined by the angle of the binder opening. It is important that these fields of view don't overlap which could lead to an incorrect In/Out signal.
Over the course of an hour data was gathered regarding the number of people that were in our living room. The gathered data was sent to Thingspeak and is graphed in a useful format that would be perfect for any small store to monitor the number of people that were in there store throughout the day.
This video shows us talking through the set up and demonstrating how this can be used.
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