Intermediate

Manufacturing

9 min read

Visual Work Instruction Compliance Monitoring

For manufacturers with 100+ assembly stations. Verify procedure compliance visually. 95% compliance detection, 40% reduction in defects.

Who It's For

Manufacturing operations teams ensuring workers follow standard operating procedures, especially for safety-critical or quality-sensitive assembly

Problem Solved

Procedure deviations cause quality defects and safety incidents. Supervisors cannot monitor all stations continuously, and audits are infrequent

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Why Mixpeek

95% procedure compliance detection, 40% reduction in defects from procedure deviations, and real-time coaching alerts

Overview

Procedure compliance is critical for quality and safety. This use case shows how Mixpeek provides continuous visual monitoring of work instructions.

Challenges This Solves

Inconsistent Execution

Workers deviate from procedures over time

Impact: Quality defects, safety incidents

Limited Supervision

Cannot have supervisors at every station

Impact: Deviations go undetected until problems emerge

Training Verification

Difficult to verify new workers follow procedures

Impact: Learning curve extends, defects increase

Documentation Burden

Manual compliance audits are time-consuming

Impact: Infrequent audits, gaps in documentation

Implementation Steps

Mixpeek monitors assembly stations via camera, comparing worker actions against defined procedures to detect deviations in real-time

Define Procedures

Capture correct procedure for comparison

await client.manufacturing.defineProcedure({
  procedure_id: 'assembly-motor-v3',
  reference_videos: trainingVideos,
  steps: [
    { name: 'Install bearing', required_tools: ['press'], duration_range: [30, 60] },
    { name: 'Apply lubricant', required_tools: ['grease_gun'] },
    // Additional steps...
  ],
  critical_steps: ['torque_verification', 'safety_lock']
});

Monitor Stations

Analyze worker actions in real-time

await client.streams.connect({
  stream_id: 'assembly-line-monitoring',
  sources: stationCameras,
  procedure_id: 'assembly-motor-v3',
  alert_on: ['step_skipped', 'wrong_tool', 'safety_violation', 'sequence_error']
});

Provide Real-Time Feedback

Alert workers and supervisors to deviations

client.streams.onDeviation('assembly-line-monitoring', async (deviation) => {
  if (deviation.severity === 'safety') {
    await alertStationDisplay(deviation.station, 'STOP: ' + deviation.message);
    await alertSupervisor(deviation);
  } else {
    await logDeviation(deviation);
  }
});

Feature Extractors Used

Action Recognition

Identify and classify human actions in video

Object Detection

Identify and locate objects within images with bounding boxes

Retriever Stages Used

Expected Outcomes

95% accuracy detecting procedure deviations

Compliance Detection

40% reduction in procedure-related defects

Defect Reduction

60% reduction in safety near-misses

Safety Incidents

30% faster time-to-competency for new workers

Training Time

Continuous monitoring vs periodic audits

Audit Efficiency

Frequently Asked Questions

Related Resources

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Ready to Implement This Use Case?

Our team can help you get started with Visual Work Instruction Compliance Monitoring in your organization.

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