LockwoodSTEMStudent Engineering Hub
ADM Activity 2.2.1

Machine Vision & AI Vision Sensor

Configure an AI Vision Sensor to identify and locate products using color signatures, AprilTags, pretrained object classifications, and coordinate data.

Back to Unit 2Student WorkflowWhat You Submit

Your lesson guide

Objective

Work toward the lesson goal: Machine Vision & AI Vision Sensor. Use the directions and success criteria in the activity below.

Materials

For the online work: a browser and your engineering notebook. Follow the activity’s materials list for any physical build, and get teacher approval before using equipment.

Plan your time

Suggested work block: 45–60 minutes. Physical builds and projects may span several classes; follow your teacher’s schedule.

Learning Targets

By the end of this lesson

  • Prepare the environment for reliable AI Vision Sensor behavior.
  • Configure and tune color signatures.
  • Interpret AprilTag, object-classification, and coordinate data.
  • Use vision information to support robotic-arm manipulation.
Equipment & Systems

What you will use

  • VEX CTE Workcell
  • VEX AI Vision Sensor
  • AI Vision Sensor gantry
  • Disks and Cubes
  • 6-Axis Arm
Student Workflow

What You Will Do

  1. Build and align the AI Vision Sensor gantry over the assigned workcell area.
  2. Configure a color signature from an actual product and tune hue / saturation until detection is stable.
  3. Move the object through the field of view and identify any false positives or lost detections.
  4. Compare color-signature, AprilTag, and pretrained-object data on the Brain or Console.
  5. Use vision data and known reference coordinates to support an arm movement or product-manipulation task.
Programming Focus

How coding supports the lesson

Take AI Vision Sensor snapshots, read detected-object information into variables, and use coordinate or identification data to influence robotic-arm behavior.

What You Will Submit

What You Submit

  • AI Vision Sensor configuration evidence
  • Color-signature tuning notes
  • Recorded vision data for required objects
  • Commented vision-based program
  • Accuracy / environmental-limitation notes
Back to Unit 2

Build your lesson report

Checkpoint: is your evidence ready?
  • Check calculations, units, labels, and measurements against the activity requirements.
  • Record what actually happened, including unexpected results.
  • Explain what you changed and why; attach required drawings, photos, CAD, or code in your classroom assignment.

AI Vision Sensor configuration evidence Color-signature tuning notes Recorded vision data for required objects

A PDF download is not a submission. Review it, then upload it and any required attachments through your classroom assignment system.