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Update app.py
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app.py
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@@ -117,6 +117,40 @@ Required Analysis:
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Compare observed evidence against each possible delay reason.
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Select the most likely reason based on visual evidence.
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Please provide your analysis in the following format:
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1. Selected Reason: [State the most likely reason from the given options]
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2. Visual Evidence: [Describe specific visual cues that support your selection]
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Compare observed evidence against each possible delay reason.
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Select the most likely reason based on visual evidence.
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1. Contour Detection and Annotation
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Detect contours around machinery and objects in each frame using OpenCV.
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Assign specific contours to different manufacturing steps (e.g., bead placement machine, ply machine).
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Label contours with the corresponding manufacturing step (e.g., Step 1: Bead Insertion).
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2. Time Analysis for Each Step
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Extract timestamps for when objects (e.g., beads, inner liner, ply) enter and exit the area of interest for each step.
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Measure the duration spent in each step by comparing these timestamps.
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3. Standard Time Validation
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Compare the observed duration against the standard times provided for each step.
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Highlight steps where the duration exceeds the standard time.
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4. Delay Diagnostics
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For steps exceeding the standard time, log potential causes based on specific analyses:
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Bead Insertion: Detect missing beads or pauses in technician/machine movement.
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Inner Liner Apply: Observe for manual adjustments indicating alignment issues.
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Ply1 Apply: Track object positioning and machine alignment changes.
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Bead Set: Monitor bead alignment and machine operation pauses.
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Turnup: Look for interruptions in material application.
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Sidewall Apply & Stitching: Check for excessive handling or speed fluctuations.
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Carcass Unload: Track technician presence and delays in object removal.
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5. Trajectory and Movement Analysis
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Use object tracking algorithms to monitor the movement of objects and machinery across frames.
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Correlate motion paths with the expected operational flow of each step to identify inefficiencies or anomalies.
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6. Visualization
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Annotate frames with contours, timestamps, and detected delays for each step.
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Save annotated videos for further review.
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Generate summary charts showing step-wise delays, bottlenecks, and technician involvement.
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7. Output Reports
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Provide a detailed log of delays with root-cause suggestions for each step.
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Include metrics like:
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Total delays per step.
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Percentage of delays exceeding the standard time.
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Frequency of technician or machine interventions.
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Please provide your analysis in the following format:
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1. Selected Reason: [State the most likely reason from the given options]
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2. Visual Evidence: [Describe specific visual cues that support your selection]
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