Use cases

Concrete examples of industrial problems to solve.

These scenarios show how a field need can be structured: trigger, technical building blocks, watch points and expected benefits.

ProductionQualityAgri-food sortingIntralogisticsEnd-of-lineSafety

Vision · Quality

Modernising a sorting and quality-control station

Replace subjective manual inspection with a more repeatable and traceable station.

Illustrative use case — data to be validated on site

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Trigger

Manual visual inspection that varies by operator or shift.

Possible architecture

Camera + lighting + trigger + reject logic + PLC interface.

Measure before study

Good / bad samples
Throughput and camera-product distance
Priority defects and minimum defect size

Possible validation

Defined defects detected
False rejects / false accepts measured
Processing time compatible with throughput

Watch points

Product variability
Ambient light
Insufficient samples

Open use case →

Food · Optical sorting

Automating a fruit and vegetable sorting line

Sorting, reject and reject-data tracking with naturally variable products.

Illustrative use case — data to be validated on site

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Trigger

Manual or semi-automatic sorting with high natural product variability.

Possible architecture

Product presentation + vision / sensors + conveying + ejection + reject tracking.

Measure before study

Varieties / sizes / defects
Throughput and product distribution
Cleaning / humidity / hygiene

Possible validation

Stable sorting quality
Traceable rejects
Accessible cleaning and maintenance

Watch points

Natural product variability
Optical contamination
False reject management

Open use case →

Packaging · Productivity

Improving an end-of-line packaging flow

Reduce micro-stops, accumulation and manual handling at line exit.

Illustrative use case — data to be validated on site

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Trigger

Micro-stops, accumulation or manual handling at line exit.

Possible architecture

Conveying + accumulation + labelling / checking + transfer / palletising as needed.

Measure before study

Upstream / downstream throughput
Formats and change frequency
Micro-stop time and causes

Possible validation

No critical accumulation
Controlled changeover time
Jams and interventions measured

Watch points

Bottleneck moved elsewhere
Atypical formats
Maintenance access

Open use case →

Intralogistics · Automated storage

Automated storage & intralogistics: from warehouse to production

Combine VLM, AS/RS, conveying, AGV/AMR and WMS/WCS according to the real flow without over-automating the site.

Illustrative use case — data to be validated on site

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Trigger

Saturated storage, excessive travel, variable picking or a need to connect warehouse and production.

Possible architecture

VLM / AS/RS / shuttle by profile + conveying or AGV/AMR + identification + WMS/WCS + ERP/MES interfaces.

Measure before study

Volumes / peaks / SKU rotation
Dimensions, weights, pallets / totes
Layout, clear height and travel
Existing ERP / MES / WMS

Possible validation

Throughput and capacity reached
Fewer picking errors
End-to-end traceability
Degraded mode tested

Watch points

Over-automation
IT data quality
Exceptions / out-of-gauge
Supplier conformity scope

Open use case →

Safety · Retrofit

Safety retrofit of an existing machine

Keep a productive machine while upgrading access, modes and safety functions.

Illustrative use case — data to be validated on site

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Trigger

Machine still productive but access, modes or safety functions need upgrading.

Possible architecture

Risk assessment + guarding + interlocks + safety PLC / relays + validation.

Measure before study

Operating modes
Access and energies
Modification history
Available schematics

Possible validation

Safety functions tested
Coherent modes and reset
Documentation updated

Watch points

Scope changes
Downtime
Production / maintenance interaction

Open use case →

Automation · Ergonomics

Automation of a repetitive manual workstation

Reduce repetitive motions without losing useful workstation flexibility.

Illustrative use case — data to be validated on site

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Trigger

Repetitive workstation with strain, limited throughput or high operator variability.

Possible architecture

Gripper / cobot / indexing / simple checking while keeping useful manual tasks.

Measure before study

Motion-by-motion cycle
Product variety
Ergonomics and operator zones

Possible validation

Stable throughput
Fewer repetitive motions
Simple changeover

Watch points

Over-automation
Too much product variety
Operator-machine interaction

Open use case →

H&H International Group experience

Group-delivered systems that extend the range of use cases.

In addition to the illustrative SYNTAVER use cases above, the group presentation documents automotive assembly and testing, electronics lines, life-science automation, packaging and warehousing projects across international markets.

Automotive

Automated assembly and testing lines for safety components and camera modules, with robotics, vision and EOL testing.

Industrial electronics

PCBA lines and testing / assembly systems integrating loading, programming, marking, ICT/FCT and inspection.

Life sciences

Automation for diagnostic devices and consumables: feeding, dispensing, vision QC, welding / marking and assembly.

Packaging

Conveying, labelling, carton handling, palletising and end-of-line automation.

Warehousing

Automated storage systems with conveying and a WMS layer to connect physical flow, inventory and information.

Automated industrial line

Example of a group system integrating multiple process and control stations.

Source: H&H International Group presentation

Automated packaging line from the H&H presentation

Packaging & end-of-line

Example integrating conveying, sealing / labelling and product handling.

Source: H&H International Group presentation

Your case is not in the list?

Describe the flow and the symptom, not the machine name.

Production, warehouse, sorting, packaging or inspection: a different case can often be scoped from the same engineering building blocks.

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Why are these use cases still illustrative?

They show the expected technical scoping depth: input data, possible architecture, validation criteria and risks. Final performance depends on product, site, actual cycle and existing interfaces.