State clearly what GreenBeam is expected to do.
ENGINEERING VALIDATION · GREENBEAM
Built for real lawns. Validated one capability at a time.
GreenBeam's engineering validation program is designed to measure the capabilities that matter in autonomous lawn operation, from plant recognition and precision targeting to mobility, positioning, obstacle response, docking, and weather behavior.
GREENBEAM VALIDATION PROGRAM
Built to be tested.
GreenBeam is being developed around a structured validation program for the capabilities that matter in real lawn operation. Each capability is evaluated through a defined protocol before performance figures are published.
Use a repeatable setup so the behavior can be observed and measured.
Record the performance metrics relevant to that capability.
Add validated findings when sufficient testing has been completed.
No placeholder performance claims. Published figures will reflect completed GreenBeam testing.
01 · VISION
Can GreenBeam see the target?
Plant recognition begins with reliable visual understanding under outdoor conditions.
What We Are Validating
Can GreenBeam identify target weeds at the plant level under real outdoor viewing conditions?
How We Are Testing It
GreenBeam's camera and onboard AI are evaluated using known plant targets under outdoor lighting and mixed vegetation conditions. Recognition output is compared with documented ground-truth plant identity.
What We Are Measuring
Target recognition accuracy
Classification confidence
Lighting robustness
Multi-plant recognition
VALIDATION PROTOCOL DEFINED
VISION VALIDATION
PLANT-LEVEL RECOGNITION
02 · PLANT DISCRIMINATION
Knowing what to leave alone matters too.
A precision system has to distinguish target weeds from the plants that should be left alone.
What We Are Validating
GreenBeam must distinguish target weeds from grass, flowers, and other non-target plants so treatment is directed only where intended.
How We Are Testing It
GreenBeam is evaluated across turf grass, flowering plants, groundcover, and mixed planting scenes while treatment-trigger and classification outputs are monitored.
What We Are Measuring
False-positive rate
LEAVE decision accuracy
Target/non-target discrimination
VALIDATION PROTOCOL DEFINED
TARGET / LEAVE
LEAVE decisions matter as much as TARGET decisions
03 · TERRAIN AND SLOPE
Real lawns are not flat test tracks.
Residential lawns include grades, root ridges, ruts, thatch, and changing surface conditions.
What We Are Validating
Can GreenBeam maintain controlled movement and stable operation across the surface variation found in residential lawns?
How We Are Testing It
GreenBeam traverses documented lawn surfaces with changes in grade, root ridges, thatch, ruts, and other representative terrain variation.
What We Are Measuring
Slope capability
Traction continuity
Traversal success
Camera stability
VALIDATION PROTOCOL DEFINED
MOBILITY VALIDATION
REPRESENTATIVE LAWN TERRAIN
04 · RTK POSITIONING AND COVERAGE
Know where you are. Know where you've been.
Precise location awareness helps GreenBeam move systematically through the defined lawn area and track where it has operated.
What We Are Validating
GreenBeam uses RTK positioning to support precise location awareness and systematic movement within a defined operating area.
How We Are Testing It
Recorded GreenBeam position data and patrol paths are compared with known reference points and the digitally defined lawn area.
What We Are Measuring
Positioning error
Coverage completeness
Unpatrolled gaps
Route repeatability
VALIDATION PROTOCOL DEFINED
POSITIONING VALIDATION
RTK + COVERAGE
05 · LiDAR OBSTACLE AVOIDANCE
Sense the obstacle. Adjust the path.
Outdoor autonomy requires GreenBeam to understand when an object enters its planned path and respond appropriately.
What We Are Validating
Can GreenBeam detect objects that enter its path and respond before contact?
How We Are Testing It
Static and moving obstacles are introduced into documented travel paths while GreenBeam's detection and navigation response are recorded.
What We Are Measuring
Detection distance
Response latency
Avoidance success
Minimum clearance
VALIDATION PROTOCOL DEFINED
SPATIAL AWARENESS
SENSE → RESPOND → CONTINUE
06 · VIRTUAL BOUNDARIES
Stay inside the line without burying one.
GreenBeam's operating area is defined digitally through the GreenBeam App.
What We Are Validating
Can GreenBeam remain inside digitally defined operating boundaries and respect exclusion zones configured through the GreenBeam App?
How We Are Testing It
GreenBeam approaches defined perimeter edges and exclusion zones from different positions and angles while each boundary response is recorded.
What We Are Measuring
Boundary compliance
Maximum boundary deviation
Exclusion-zone compliance
Repeated approach consistency
VALIDATION PROTOCOL DEFINED
BOUNDARY VALIDATION
DIGITAL OPERATING AREA
07 · AUTOMATIC RETURN AND DOCKING
Getting home is part of the mission.
Autonomy does not end when the patrol is finished. GreenBeam also has to find and align with its Garage.
What We Are Validating
Can GreenBeam return to its Garage, align with the dock, and complete the docking sequence from different positions within the lawn?
How We Are Testing It
Return-to-Garage sequences are initiated from documented starting positions, distances, and approach angles across repeated cycles.
What We Are Measuring
Docking success rate
Approach consistency
Alignment accuracy
Repeated-cycle reliability
VALIDATION PROTOCOL DEFINED
DOCKING VALIDATION
RETURN → ALIGN → DOCK
08 · WEATHER RESPONSE
Outdoor intelligence includes knowing when conditions change.
GreenBeam is designed to respond when rain changes the operating environment.
What We Are Validating
GreenBeam is designed to respond to detected rain by interrupting operation and returning to the Garage, with mission continuation evaluated when appropriate conditions return.
How We Are Testing It
Controlled rain events are introduced during active missions while detection, return behavior, docking, and mission-state handling are documented.
What We Are Measuring
Rain-detection response time
Return initiation
Docking completion
Mission-state recovery
VALIDATION PROTOCOL DEFINED
WEATHER VALIDATION
DETECT → RETURN → DOCK → RECOVER
09 · PRECISION TARGETING
The final decision happens at one plant.
Once a target is confirmed, precision depends on where treatment is placed.
What We Are Validating
Can GreenBeam direct precision-light treatment toward the intended growth region of a confirmed target while limiting exposure to nearby non-target plant material?
How We Are Testing It
Confirmed target weeds are positioned within the treatment area with documented growth-point locations and, in selected tests, nearby non-target vegetation.
What We Are Measuring
Targeting error
Treatment placement repeatability
Adjacent-plant exposure
Repeated-event consistency
VALIDATION PROTOCOL DEFINED
TARGETING VALIDATION
PLANT-LEVEL TREATMENT PLACEMENT
VALIDATION ROADMAP
What GreenBeam will publish.
As engineering validation progresses, GreenBeam will add verified measurements, test conditions, and representative evidence for the capabilities that matter in real lawn operation.
Validated measurements, test conditions, and representative evidence will be added as GreenBeam's engineering validation program progresses.
GREENBEAM IN ACTION
Want to see GreenBeam in action?
Engineering validation measures performance. GreenBeam in Action shows the system operating. Watch demonstrations of plant recognition, precision targeting, autonomous mobility, obstacle response, virtual boundaries, docking, and App control.
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