Smarter farms
Safer machines

Rugged spatial AI for agriculture and heavy machinery, spanning autonomous equipment, machine safety, crop intelligence, and material monitoring.

Case Studies

Real-world use cases from businesses leveraging Luxonis for smarter vision systems.

Case Study

Farmwave

Farmwave is tackling one of agriculture's most persistent challenges: grain loss during harvest. Traditional methods for measuring loss, like stopping combines to manually count kernels, are slow, inaccurate, and often skipped altogether. This means farmers are unknowingly leaving significant revenue in the field.

Case Study

Autonabit

Autonabit is a New Zealand agritech company building small autonomous robots for vineyards and orchards. Their robots handle everyday tasks such as bird deterrence, mowing, and vine scanning, helping growers adopt automation incrementally without changing their layouts or practices. By introducing autonomy gradually, Autonabit is making advanced robotics practical and affordable for growers.

Proven applications for
Agriculture & Heavy Machinery

These are the field-proven scenarios where OAK consistently fits best.

Agricultural UGVs & AgBots

Give autonomous farm robots the spatial awareness to scout crops, move materials, and handle uneven terrain with more confidence.

Recommended device

OAK 4 D

A standalone stereo vision camera with 52 TOPS of AI compute, PoE and USB connectivity, and an IP67-rated enclosure for advanced robotic and industrial deployments.

OAK-D S2 PoE

A rugged PoE stereo camera with 12MP color imaging, on-device AI, and industrial-ready connectors for robotics and outdoor systems.

OAK-D Long Range

A long-baseline stereo camera built for outdoor depth sensing at longer distances, with rugged housing and swappable optics.

Customer Story

Why Choose Luxonis

Find out what advantages our products offer specifically for your industry.

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Durability

Built to stay reliable through dust, vibration, weather swings, and the daily abuse of field and fleet deployments.

Standalone operation

Perception, depth, and AI run directly on the device, which matters when machines operate far from dependable connectivity or extra compute.

Precise stereo depth

Reliable spatial awareness is what turns navigation, crop interaction, and safety workflows into something a machine can trust outdoors.

Wide field of view

Cover crop rows, work zones, and machine surroundings with fewer sensors and less mounting overhead.

Low-latency processing

On-device inference keeps autonomy and human-safety loops responsive when timing matters most.

PoE connectivity

Long cable runs and clean installation matter on large equipment, remote structures, and the kind of environments that punish fragile setups.

Durability

Built to stay reliable through dust, vibration, weather swings, and the daily abuse of field and fleet deployments.

Up to IP67 protection

Shock and vibration resistance

Wide operating range

Validate faster with prebuilt examples

Start with apps, reference implementations, and ready-to-evaluate models that help you prove an OAK-powered workflow before building everything from zero.