Industrial automation / Commercial services

Your operation.
Working smarter.

Put computer vision to work in your machines. We connect inspection and grading decisions to the controls and equipment that keep your agricultural or industrial operation moving.

System integration Real-time control Computer vision
Engineer monitoring factory equipment from a tablet
Connected infrastructure. Clearer control.

01 / The foundation

Built to work together.
Designed to grow.

Intelligent operations start with dependable infrastructure. We build the foundation before adding the intelligence.

System integration

Bring sensors, actuators, and controllers together. We connect existing equipment into a coherent system built around your workflow.

  • Connected infrastructure
  • Modular architecture
  • Equipment interoperability

Real-time control

Keep processes synchronized with responsive control logic, designed around the timing and operating requirements of your production line.

  • Process synchronization
  • Control logic engineering
  • Operational monitoring

Data infrastructure

Turn operational signals into useful information. Structured data supports process analysis, optimization, and future AI applications.

  • Structured data pipelines
  • Production traceability
  • Performance insights
Computer vision inspection of components on an industrial line
Computer vision / Inspection concept

02 / Computer vision solutions

Machines that see.
Systems that act.

Give your machines the ability to interpret what’s in front of them. We adapt computer vision and deep learning to your products, inspection criteria, and operating conditions, then connect the results to your automation system.

Visual recognition

Identify components, detect defects, and grade products using models trained for your application.

Intelligence at the edge

Process visual data on the device, close to the action, for applications where latency matters.

Perception into action

Connect inspection decisions to machine controls, sorting mechanisms, and conveyor systems.

Discuss your vision application

03 / Agricultural computer vision

From harvest
to the right grade.

From citrus packing to date grading, give every harvest a clearer path through your line. We adapt computer vision and grading logic to your produce, then connect inspection decisions to your agricultural machines and sorting equipment.

Oranges & citrus Dates & NIR vision ↗ Size & color grading Visible defect detection

Your produce. Your inspection criteria.

Select cameras, lighting, and grading models around your fruit varieties and visible quality requirements. We validate the inspection setup with your samples and line conditions.

Discuss agricultural vision
Computer vision for fruit inspection A camera and controlled lighting inspect oranges on a conveyor. Detection frames illustrate checks for size, color, and visible surface defects. This is a schematic application concept. CAPTURE INSPECT & GRADE TO SORTING
Fruit inspection / Computer vision Application concept

A citrus line / From inspection to destination

01 / Inspect

See the fruit, in detail.

Use controlled lighting and computer vision to assess orange size, color, and visible peel defects as fruit moves through the line.

02 / Grade

Make your standards repeatable.

Group fruit using your size bands and appearance criteria. Adjust grading rules for different varieties and packing requirements.

03 / Sort

Turn inspection into action.

Send grading decisions to your sorting equipment or conveyor diverters to route fruit to the appropriate packing or processing lane.

Dates / NIR vision

Agricultural automation

Date sorting.
A clearer view with NIR.

Bring near-infrared (NIR) vision to your date packing line. Combine visible and NIR images to identify skin separation and grade fruit consistently, then turn each inspection into a sorting decision.

Visible + NIR imaging Skin quality grading Automated sorting
Discuss date sorting
Inside the inspection line NIR
Visible and NIR inspection of date fruit Dates travel on a conveyor beneath visible and near-infrared cameras. Their images inform the grading decision before the fruit is sorted. This is a schematic illustration of an inspection system. VISIBLE NIR GRADE DATE FRUIT IN TO SORTING
Inspection concept · Signals shown schematically
01

Inspect each date

Pair visible-light cameras with NIR imaging to assess size, color, and skin separation without cutting the fruit.

02

Grade for your varieties

Set quality classes and defect thresholds around your date varieties, sample batches, and packing requirements.

03

Route with care

Connect inspection decisions to synchronized sorting equipment that directs dates into the appropriate grade or processing lane.

Need moisture or soluble-solids grading? Add NIR spectroscopy with prediction models calibrated against reference measurements for your date varieties. We define the sensing setup and validate grading performance around your samples and line conditions.

Your fruit. Your grading criteria. A line engineered around both.

Your next chapter starts here

Make your next move smarter.

Tell us about your process, your equipment, and what you want to improve.

Discuss your operation