TERAFAC
Smart Learning · Labs for institutions

Industry 4.0 labs, built for the classroom.

Hands-on AI vision, robotics and automation — for the engineering colleges, polytechnics and schools training tomorrow’s factory engineers.

Same factory tech as WELD-T · Adapted for teaching

01 · For colleges

A working factory cell, on campus.

For engineering colleges, polytechnics and vocational institutes building Industry 4.0 capability. Real robots, real vision systems, real cycle data — not a simulator.

  • What’s included

    Robot arm, vision module, weld or pick-and-place workstation, software stack, and a curriculum tied to mechanical, electrical and CSE syllabi.

  • Who it’s for

    B.Tech and diploma programmes in mechatronics, manufacturing, robotics and CSE. Faculty wanting a single lab that spans vision, control and data.

  • Why it matters

    India’s factories are hiring engineers who’ve only seen automation in slides. The skill gap is the bottleneck. The lab closes it before campus placements.

College lab · Industry 4.0

02 · For schools

First contact with robots and AI.

For grades 6 – 12, scaled to the classroom. Exposure-level workstations students can run themselves, with STEM modules that fit into a regular school week.

School lab · Grades 6 – 12
  • What’s included

    Compact desktop robot, camera kit, drag-and-drop software, and a project workbook of 20+ guided experiments aligned to NEP-aware STEM outcomes.

  • Who it’s for

    CBSE, ICSE and state-board schools investing in atal-tinkering-style labs. Computer-science and physics teachers who want a hands-on track, not another screen.

  • Why it matters

    Children who build a working pick-and-place at fourteen pick STEM streams with intent. The lab shifts the conversation from “coding” to “making things move”.

03 · What students learn

Concrete skills, not slide decks.

Three pillars run across both age groups, scaled in depth. The same vocabulary an engineer hears on the shop floor — introduced in a lab where they can actually run it.

01 / AI vision

Teach a camera to see.

Image capture, object detection, coordinate frames. From spotting a coloured block to measuring orientation on a real part.

02 / Robotics

Make the arm move with intent.

Joints, kinematics, end-effectors, safety envelopes. Pick-and-place by week two, vision-driven trajectories by week six.

03 / Automation

Close the loop end-to-end.

Sensors in, decisions out, data logged. Students design a small line, run it, and read what the cycle data says.

Curriculum touches Mechatronics CSE Manufacturing STEM 6–12

04 · Get in touch

Bring a working factory to your campus.

Tell us your programme, the space you have and the cohort size. We’ll come back with a lab spec, a budget and an installation timeline — usually inside a working week.