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Automated sorter

A Years 9–10 design project: an automated sorter where a light sensor (or a trained model) decides and a servo flap acts, prototyped on the board, built, and measured for accuracy on a 20-item test set.

Capstone projects · Years 9–10: move it · about 250 minutes · Open the student lesson

Classroom resources

Load these into Waypoints Prepare: choose Load URL and paste the copied address, or download the file and import it. In Prepare, the worksheet's Teacher edition shows the answers; the student copy hides them.

Students will be able to

Timing

About 4 to 6 lessons (around 250 minutes). Inquire part lesson · Develop 1 · Create 2–3 · Test and evaluate 1

Before class

Real light readings depend on room light and how the item passes the sensor; a shade or an LED lighting the item helps. The Servo library is a recipe until the class has met libraries. Links: Code › Train a recycling sorter (Teachable Machine) for the stretch route.

If you assess with MYP Design, the steps line up with the criteria:

Running the lesson

  1. Develop: the code tests and the accuracy test answer different questions; ask which is which.
  2. Test: someone else chooses the 20 items.

The hard part (on purpose)

Students treat 100% on their own five items as proof. Hold the 20-item test set back until Test.

When students get stuck

What you will seeA question to askThe fix
Accuracy is poor.What do the misses have in common?Calibrate the threshold with real items, or shield the sensor from room light.

Answers to the checks

  1. Inquire: the brief: Sort each line of the brief: a criterion (what it must do, which you can test) or a constraint (a limit you must work within)?
    Light items (400 or more) go to bin B → Criterion; The flap moves within 0.5 s → Criterion; At least 90% accurate on 20 test items → Criterion; Kit parts only → Constraint; USB power → Constraint
    Criteria are what you will test at the end; constraints decide what you are allowed to build with.
  2. Prototype the decision: Here the LED stands in for the flap (on = bin B). Write the decision so all four tests pass.

    if (level >= 400) flap to B (LED on), else A (off).
  3. Accuracy: Your sorter puts 17 of 20 test items in the right bin. What is its accuracy, as a percentage?
    85
    17 ÷ 20 = 0.85 = 85%: under the 90% the brief needs.
  4. Which is evidence?: Which is the strongest evidence that the design meets a criterion?
    A test from the table that set the input and recorded the expected result
    A planned test with a recorded result is evidence; everything else is a feeling.

Stretch and support

Stretch: The Teachable Machine route: compare its accuracy with the light sensor's on the same 20 items.

Support: A servo recipe card and a results table for the 20 items.

Exit ticket

Your sorter scores 18 of 20. Does it meet a 90% criterion?

Yes: 18 ÷ 20 = 90%, exactly the criterion.

What each step is for

Where it leads

Other Years 9–10 projects: Two-motor drive base, Lift.