GreenBeam. Working.

DEMONSTRATION 01 · AI WEED RECOGNITION

It sees the weed. And it knows what it is.

GreenBeam's camera examines plants during its patrol. The onboard AI — powered by the NVIDIA Jetson Orin Nano — evaluates plant characteristics in real time and classifies each plant it encounters. This clip shows the full recognition sequence: camera input, AI evaluation, and the moment a target weed is identified.

What to look for in this clip:

  • camera POV perspective as GreenBeam approaches a plant cluster
  • Photon Cyan perception outline forming around candidate plants
  • Beam Green target-lock circle contracting on the confirmed weed
  • IBM Plex Mono label reading TARGET CONFIRMED

[VIDEO TRANSCRIPT — AI WEED RECOGNITION DEMO — TO BE ADDED]

DEMONSTRATION 02 · PRECISION-LIGHT TARGETING

Light instead of blanket spraying.

Once GreenBeam has confirmed a target weed, it directs precision light at the plant's growth point — the meristem. Treatment is applied to the individual weed, not to the surrounding turf. The rest of the lawn remains untouched.

What to look for in this clip:

  • Beam Green circular target lock positioned over the weed
  • the targeting moment at the weed's growth point
  • the robot moving to the next position after treatment, leaving surrounding grass undisturbed

[VIDEO TRANSCRIPT — PRECISION-LIGHT TARGETING DEMO — TO BE ADDED]

DEMONSTRATION 03 · ALL-WHEEL DRIVE MOBILITY

Power at every wheel.

GreenBeam uses all-wheel drive with in-wheel motors at each wheel. This architecture supports movement across the varied terrain of real residential yards — uneven ground, grass, and grade changes — without requiring a flat or prepared surface.

What to look for in this clip:

  • GreenBeam maintaining forward momentum across uneven turf
  • individual wheel response to surface variation
  • stable body attitude during direction changes

[VIDEO TRANSCRIPT — AWD MOBILITY DEMO — TO BE ADDED]

DEMONSTRATION 04 · LiDAR OBSTACLE AVOIDANCE

See what's in the way.

GreenBeam's LiDAR sensor continuously maps the space around the robot during operation. When an object is detected in the robot's path, GreenBeam evaluates the obstacle and responds — navigating around it rather than stopping and waiting for manual intervention.

About LiDAR detection:

LiDAR measures the physical space around GreenBeam in real time, building a spatial picture of the robot's immediate environment. This allows GreenBeam to distinguish obstacles from clear path and make navigation decisions autonomously.

[VIDEO TRANSCRIPT — OBSTACLE AVOIDANCE DEMO — TO BE ADDED]

DEMONSTRATION 05 · VIRTUAL BOUNDARY BEHAVIOR

Boundaries without buried wires.

GreenBeam's operating area is defined entirely in the GreenBeam App. The boundary is virtual — there is no wire to bury, no physical barrier to install. GreenBeam uses RTK positioning to maintain awareness of where it is relative to the defined perimeter and stays within it during operation.

No buried perimeter wire:

Traditional robot systems require a physical boundary wire installed at the lawn's perimeter. GreenBeam replaces this with a digitally drawn perimeter in the app, backed by RTK centimeter-level positioning capability. Draw the perimeter once; update it anytime.

[VIDEO TRANSCRIPT — VIRTUAL BOUNDARY DEMO — TO BE ADDED]

DEMONSTRATION 06 · AUTOMATIC DOCKING

Home base, found without help.

When GreenBeam needs to recharge — or when its mission is complete or rain is detected — it navigates back to the GreenBeam Garage automatically. The docking sequence is autonomous. No manual repositioning is required.

What happens at the garage:

  • GreenBeam locates and returns to the garage using RTK positioning
  • the robot aligns with and connects to the dock without manual assistance
  • charging begins automatically
  • GreenBeam resumes its mission when conditions allow

[VIDEO TRANSCRIPT — AUTOMATIC DOCKING DEMO — TO BE ADDED]

DEMONSTRATION 07 · GREENBEAM APP OPERATION

Your lawn has a dashboard.

The GreenBeam App is how you define where GreenBeam works, when it works, and what it reports back. This screen recording shows the app in operation — drawing a lawn perimeter, defining treatment zones, setting a schedule, and watching live mission progress.

What this recording shows:

  • digitally drawing the lawn operating perimeter
  • creating named treatment zones
  • configuring a patrol schedule
  • following GreenBeam's live position on the map
  • reviewing treatment activity markers after a completed mission

[SCREEN RECORDING CAPTION / TRANSCRIPT — GREENBEAM APP OPERATION — TO BE ADDED]

GREENBEAM · NOW LIVE ON INDIEGOGO

You've seen it work. Back it.

GreenBeam's core capabilities — AI weed recognition, precision-light targeting, autonomous navigation, AWD mobility, and automatic docking — are demonstrated above using real product footage. Your Indiegogo backing moves GreenBeam from working technology to production.

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