Reclaim

Sustainability research Engineering collaborator

Automated recyclable waste sorting and segregation — embedded actuators and vision classifiers route items into material bins.

Problem

Manual sorting at barangay MRFs is slow and inconsistent. Reclaim experiments with a conveyor-fed line where sensors classify material streams and actuators open the correct chute.

What it covers

Camera classifier for plastic, metal, paper, and reject classes
Embedded actuator timing synchronized to conveyor speed
Weight/check sensor guardrails before bin commits
Operator e-stop and manual override lane

Sorting line data flow

void routeItem(MaterialClass material, uint32_t encoderTicks) {
  const uint32_t fireAt = encoderTicks + kChuteLeadTicks;
  scheduleAt(fireAt, [material]() {
    openChute(chuteFor(material));
    delay(kGateOpenMs);
    closeChute(chuteFor(material));
  });
}

Hardware photo placeholder — swap for the classifier camera and chute bank.