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Sid’s Status Report for March 30, 2024

This week, i completed building the people counter, and worked to set it up at the gym. We first worked to set up the circuit for the counter, after which I spent some time finalizing the code for the counter to make it more accurate and less susceptible to not detecting people. This also included testing and modifying certain parameters for the sensors. After this, I worked with the team to have the counter set up at the gym, along with have a tmux session to SSH into to constantly run and monitor the code.

For the next week, I intend to get back to working on the ML model using the new weather API that I was able to find. I also want to work on building a system to collect occupancy data from the EC2 instance. Finally, I will work on the interim demo.

With these updates, I am on track with our schedule.

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Derek’s Status Report for March 30, 2024

 

This week, my team and I set up and tested our system at the gym and made sure everything was working correctly (sensors are able to detect in the gym, able to send information to the server, able to update the app live). Additionally, I ran into issues with how the server is storing the occupancy and bench data. I worked on debugging the storing of data and based on the preliminary data collected, we noticed that in the actual gym setting, the people counter may be buggy. Based on our data, we worked on tuning our sensors to be more robust. I also worked on the front end and added more past the basic functionalities of the app. 

With this update, I believe we are on the right track. Once we have collected more data, our plan is to work on how we can analyze the data to provide unique insights. Once our model is working, I also plan on testing data transmission between the machine that is hosting the model and our backend server. Additionally, I plan on further improving the usability of the mobile app while we collected data.

Our data after setting up this week:

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Max’s Status Report for March 30, 2024

I finished testing the components for both the people counter and bench sensor, and implemented the hardware for both the people counter and the bench sensor. I also implemented the software for the bench sensor and worked with Sid to implement the software for the people counter. We were able to integrate everything together with the EC2 instance and we set everything up in the gym (check our Team Report).

My progress was behind, but setting up early this week has helped me go back to schedule.

I do not have any deliverables for the week, I look to just refine both the people counter and bench sensor casing by most likely using laser-cut wood.

Here is the link to the bench sensor code: https://github.com/maxcadams/capstone-bench-sensor/blob/main/bench_sense.ino

 

 

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Team Status Report for March 30, 2024

There are no immediate risks that could jeopardize the success of our project. We have been monitoring the output of both the people counter and bench sensor systems, and they seem to be working well. We look to make a new poster and notify gym administrators to not move any equipment and also to not stand in front of the people counter as that can have an effect on the occupancy count of the gym.

No changes have been made to the existing design of the system. We have the bench sensor and the people counter as mentioned before running in the UC gym.

There has also been no updates to the schedule.

The two components set up in the gym^, people counter on the disk and the bench sensor is at the window sill.

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Derek’s Status Report for March 23, 2024

This week I worked on testing the backend API. Last week I started initial testing on Postman and this week I tested the backend with both the NodeMCU and the Raspberry Pi. I also began implementing the frontend design for the mobile app. I set up a floor layout graphic that updates bench colors as it receives bench status updates from the backend as well as display for the gym occupancy.

This week I plan on working more on the frontend. I plan on implementing the google maps feature on our app. Additionally, I want to make the mobile app design more user friendly once the basic functionalities are established. Tomorrow our team is setting up the sensor system at the gym to begin collecting data.

I am on track with my tasks and believe that our team is on the right trajectory. 

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Max’s Status Report for March 23, 2024

I finished testing all of our hardware components this week, soldering together the ADC for the people counter and performing tests on the IR sensors that will be used. I measured the distances with voltage readings and then compared these to the ADS1015 (the ADC) in the NodeMCU. I also set up the Raspberry Pi for the people counter. I have an algorithm for the bench sensors ready for set up this upcoming week.

 

 

My progress is slightly behind, I wasn’t able to set up the system in the gym with my group. Since we are finished testing everything and are putting our systems together, we are going to have the preliminary systems set up in the UC gym at the start of this week.

We’d like to have the systems up in the gym and begin analyzing the data we collect.

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Team Status Report for March 23, 2024

There are no big risks right now that could jeopardize the success of the project. Any risk was mitigated this week through our testing of components and prototypes of our subsystems. The components also interact with the E2C instance with the backend API. We will be testing in the gym tomorrow and then setting up Monday.

The only change that occurred was the IR sensor being used with the people counter. We decided to use the longer-range sensors in practice because the actual range worked better with our tests.

We are slightly behind in setting up the system in the gym, but we will be doing this early the week of 3/23.

This is our people counter prototype^

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Sid’s Status Report for March 23, 2024

This week, I worked to build and test the people counter using the Raspberry Pi. First, I built a basic setup with the team to understand the voltage values given as outputs by the IR sensors for various distances. Next, I soldered the parts and assembled the circuits. Lastly, I wrote the code for the RPi, and tested the functionality of the counter. It appears to have worked, but its values need to be tuned for the gym. Beyond this, I also worked on implementing the new Weather API, as well as on the ethics assignment.

For the next week, I intend to test the people counter at the gym, and then set up to start data collection. Furthermore, I will get back to running the ML model using the new weather API that I found.

With these updates, I am on track with our schedule.

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Sid’s Status Report for March 16, 2024

This week, I worked to finalize the Machine Learning model, as well as get started on building the people counter. For the model, I tried writing the code to run it, however, I learnt that the API I was planning to use to get temperature data had been replaced by a new one, so I have been working to implement that by the end of this weekend. For the people counter, I have written the code, and will be working with the team tomorrow to build the physical components and test it.

For the following week, I intent to have the people counter set up at the gym and be able to share collected data with our server. I will then try rerunning the model on the new data to see if the model can be improved.

With these updates, I am on track with our schedule.

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Team Status Report for March 16, 2024

There are no significant risks, the IR sensors have been our bigger concern and so far they seem to be working well. The supply voltage was a little funky, but adding a voltage regulator should help. We are looking to set up both the people counter and a bench sensor module in the UC gym this week.

No changes have occurred this week, and our schedule remains the same.