Industrial automation / Commercial services

Your operation.
Working smarter.

From the first sensor to the final decision, we engineer connected automation that makes your entire operation work as one.

System integration Real-time control Machine perception
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
Machine perception / The intelligence layer

02 / The intelligence layer

Machines that see.
Systems that act.

Bring computer vision and deep learning into your automation stack. Give your machines the ability to interpret what’s in front of them and respond.

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 decisions to robotic arms, sorting mechanisms, and conveyor systems.

03 / Agricultural automation

From harvest
to the right grade.

From citrus packing to date grading, give every harvest a clearer path through your line. We bring machine vision, grading logic, and automated handling together in systems designed around your produce.

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

Fast movement. Thoughtful handling.

Explore delta robotics for rapid, repetitive picking, with conveyor tracking and a gripper selected for your fruit. Line speed and handling are validated for each application.

Plan your fruit sorting line
Illustration of an overhead delta robot picking an orange from a moving fruit-sorting conveyor
Orange sorting / Delta robotics Application concept

A citrus line / From inspection to destination

01 / Inspect

See the fruit, in detail.

Use controlled lighting and machine 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

Move each orange with care.

Route fruit to the appropriate packing or processing lane using conveyor diverters or a vision-guided delta pick-and-place system.

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