Simon entrance audit

Step 1: Access the Job Ticket on Asana

1. Locate the Job Ticket:

   • Log into the Asana platform to access the assigned job ticket for the configuration audit.

   • Review the ticket details, which include:

     • Specific instructions for the audit.

     • Location and cameras to be reviewed.

     • The date and time range for the footage to be analyzed.

     • Take notes of all essential details, such as the date, time, and specific cameras, to ensure accuracy during execution.

Step 2: Access Dragonfruit Platform

1. Login and Organization Selection:

   • Log into the Dragonfruit AI platform.

   • Select the appropriate organization from the list (e.g., Simon for the Simon Entrance Audit).

2. Navigate to the Location Tab:

   • Go to the Location tab within the platform to locate the cameras specified in the job ticket.

   • Select the required cameras.

3. Choose Video Footage:

   • Locate and access footage from the specific date and time range mentioned in the Asana ticket (e.g., October 16th).

Step 3: Manual Review of Footage

1. Observe and Count:

   • For each minute of the footage, count the number of people crossing the region (indicated by a line filter on the camera).

   • This region represents a boundary where every crossing event should be noted.

2. Capture Screenshots (If Required):

   • If the instructions specify, take screenshots of people crossing the region as evidence.

   • Ensure the screenshots are clear and correspond to the timestamps.

   • Note down the manual count of individuals crossing the region for the entire time range specified

Step 4: Generate AI Insights

1. Create an Insight Report:

   • Navigate to the Insights section on the Dragonfruit platform.

   • Create a new insight report by selecting:

     • The same camera and location previously analyzed.

     • The date and time range matching the manual review.

2. Review the AI Report:

   • The platform generates a bar graph and data details showing the AI-detected number of people crossing the line.

   • Note these values carefully for comparison.

Step 5: Record Results

1. Internal Config Audit Sheet:

   • Log the manually counted numbers and AI-detected numbers into the Internal Config Audit Sheet.

   • Attach screenshots if required to support the audit findings.

2. Accuracy Analysis:

   • Compare the manual counts against the AI results to evaluate the AI model's accuracy in detecting people crossing the line.