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AI video analytics for logistics and warehouse: abstract representation of networked warehouse operations

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AI video analytics forLogistics and Warehousing

With AI video analytics for logistics and warehouse, you can automatically evaluate goods movements, vehicle flows, loading zones and operating ranges. Synaedge connects your existing cameras with continuous video analytics, recurring visual controls and your existing logistics systems.

Monitor movements of goods and material flow
Coordinate gates, access points and loading processes
Detect missing PPE, hazardous areas and unauthorised access

Direct answer

What does AI video analytics for logistics and warehouse do?

With visual AI, you automatically evaluate the images of your existing cameras for warehouse operation, handling, transport control and security. You can recognise objects, vehicles, movements, states and visible deviations in your ongoing logistics processes.

With SynaHUB, you can also automate recurring visual inspections: Instead of regularly checking loading zones, storage areas or transfer points, you have a camera captured and document the visible state. In case of deviations, you will receive a targeted notification.

Goods and cargo carriers

Capture pallets, packages, containers, loading units and visible movements.

Envelope and deployment

Monitor loading zones, conveyor technology, storage spaces and transfer points.

Vehicles and gates

Connect vehicles, licence plates, access rights and gates to your defined time slots.

Safety and security

Identify missing PPE, hazardous areas, unauthorised access and possible emergencies.

Material flow and cover

Continuously analyse goods, movements and vehicles.

Depending on your task, we combine object recognition, tracking, codes, licence plates and defined process rules. We validate any analysis with your real cameras, typical movements and operational borderline cases.

Object classes

Object Detection

Locate pallets, packages, containers, loading units, load carriers, industrial trucks and your project-specific object classes.

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Movement

Tracking and analysis

Connect direction, number, dwell time, throughput, downtime, and zone changes to your operational rules.

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Identification

QR and Barcode Detection

Combine visible codes with items, order, lot, load carriers, storage location or process step.

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Vehicles

Number plate recognition

Match incoming and departing vehicles with your time slots, gates, transport orders and permissions.

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SynaHUB · visual inspection tasks

Automate visual inspections in warehouse and handling.

Today, check many states manually once per shift, before loading or at defined transfer points. With SynaHUB, you can automate such recurring visual inspections and receive documented results.

Job-based visual AI

From the current image to your structured answer.

You determine when a camera is created by creating a current image and which question should be answered. A Vision Language Model evaluates the visible state based on your specifications. The documented result will then hand you over to your intended process.

Camera→Schedule or event→VLM exam→Result

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“Is the planned loading gate free and operational?”

“Is the staging area completely cleared?”

“Is a trailer at the intended charging position?”

“Does an object block the marked transport route?”

“Is the transfer zone in the expected visible state?”

Applications for Logistics

Protect people, goods and your operating areas visibly.

Use the same camera infrastructure to monitor your external borders, access, storage areas and access points in addition to goods movements and vehicle flows, and to supplement your fire protection.

Abstract video analytics for logistics: virtual zones for perimeter security
Off-road protection

Perimeter Security

Monitor property boundaries, storage areas and outdoor areas that are difficult to view

From camera view to security process

Give results to the right system with context.

A detection or visual inspection will only support you in operation when the result arrives with the correct context in your intended system.

Four camera types as image sources for AI video analytics in logistics01

Check image sources

Have your existing IP cameras, access cameras and other suitable image sources technically checked.

AI video analytics for logistics: people, vehicles, zones and visible variations02

Select analysis

Have security-relevant areas continuously analyse or specifically control individual images.

video analytics in logistics: research by location, time, building and object03

Complement context

Supplement zone, time, permission, building, object and other operating information.

AI video analytics for logistics: camera event handed over to security and operating systems04

Trigger process

Pass results to your VMS, PSIM, your access control, your security control, your building management or your own applications.

Camera→Visual AI→Event→VMS / PSIM / Access / Control column

Application examples

Choose the right use case for your logistics environment.

Your requirements in a storage and distribution centre differ significantly from the processes in a port or container terminal. Therefore, analyses, inspection tasks and reaction routes adapt them to your goods movements, traffic areas, operating processes and your specific risk profile.

Monitoring monitor with six AI video analyses for flow, vehicles and safety in the warehouse

Storage and distribution centres

Surveillance monitor with six AI video analyses for gate, yard, envelope and security in port

Ports and Container Terminals

Platforms and deployment

Choose the right platform for your task.

Depending on your task, you will receive your own Synaedge platform, established enterprise technology or a combined architecture.

Operational video analytics

Continuous AI video analytics for live camera streams

SynaEYE continuously analyses existing cameras in real time and combines detection, event logic, alerts, tracking and forensics in a European edge AI platform.

The right choice if you:
want to monitor security, safety or operational processes continuously with your cameras and process detected events immediately.

Standard analyticsVLMCustom modelsReal-timeForensic SearchAPI

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Job-based visual AI

Visual AI for freely defined inspection tasks

SynaHUB turns a visual question into an automated AI job. A camera, API or schedule supplies the image, a VLM evaluates the situation and returns a structured result.

The right choice if you:
want to inspect conditions, references, quality or individual visual questions without developing a separate analytics module for every task.

VLMPeriodic inspectionTarget vs ActualAPIStructured results

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Enterprise platform

Enterprise AI vision with maximum functional breadth

Vaidio is an established enterprise platform with an extensive catalogue of standardised video analytics, powerful forensic search and a broad integration ecosystem.

The right choice if you:
need a large, standardised enterprise environment with extensive analytics, multi-site operation and established VMS integrations.

21 AI Engines3,000+ objectsVLMCustom modelsReal-timeForensic SearchAPI

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You operate the processing according to your security, latency and privacy requirements on-premises, on edge systems, hybrid, or in a private cloud environment.

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Responsibility and limits

Plan your logistics analysis with visible criteria and process context.

Check the suitability of your analysis with real scenes, typical movements and operational edge cases. For critical decisions, include an additional technical or human review.

Visibility limitYou can only analyse objects, vehicles and states that are visible in appropriate quality. Covered goods or areas outside the camera view remain unevaluated.
Image boundaryConsider that perspective, resolution, lighting, weather, speed, pollution and object size influence the quality of your recognition.
Context boundaryConnect the video analytics to your WMS, TMS, YMS, ERP or operational rules if you want to evaluate whether a product is allowed, expects a vehicle or a process is correct.
Rule limitDefine threshold values, time windows, permissions, exceptions and response processes together with your company responsible and check them in pilot operation.
System boundaryUse AI to support material flow, handling, safety and security. It does not replace your responsibility for proceedings, technical safety measures or legally prescribed procedures.
Detection limitDocument and review results with legal, financial or safety-critical consequences using a clearly defined procedure.
Privacy by DesignFor your classic goods and process analyses, you usually do not need the identification of people. Limit camera zones, roles, access, data storage and deletion periods to the required logistics and security purpose.

For locations in the EU form the GDPR, especially Art. 5, 6, 25 and 35 and the EDSA video surveillance guidelines the basis of the privacy audit. In addition, consider the law of the respective Member State, in particular employee data protection and co-determination. The duties from the EU AI Act check for the concrete use of AI.

For private operators in Switzerland address: FDPIC guidance on video surveillance.

Frequently Asked Questions

Your questions about AI video analytics for logistics and warehouse answered in a compact way.

Can you use your existing warehouse and gate cameras?

Often yes. We check perspective, resolution, light, frame rate, object size, vehicle speed and stability of your streams with representative scenes.

Which goods and load carriers can you show?

Depending on your image quality, you can show pallets, packages, containers, load carriers, load carriers, vehicles and project-specific classes. For your special objects we can train our own models.

Can you integrate licence plates and vehicle events?

Yes. You can connect visible licence plates and vehicle events to your gates, time slots, transport orders, whitelists and permissions.

Can you connect the analysis to WMS, TMS, YMS or ERP?

Yes. You can pass results through APIs and project-specific integrations to your WMS, TMS, YMS, ERP, Yard Management, VMS, your control room or your own applications.

What can you use SynaHUB for in logistics?

With SynaHUB you run defined visual inspection tasks. For example, check a loading line, provisioning area, transfer zone or a defined visible state at a scheduled time or after an event.

What is the task for your first pilot?

Choose a clearly defined task that is measurably complex or error-prone today and for the appropriate camera images, representative processes and a defined receiver for the result are available.

Does video analytics replace your WMS, TMS or other logistics systems?

No. Visual AI adds visible conditions and events to these systems. Orders, authorisations, goods status and process context continue to come from your primary operational systems.

How do you regulate data protection and access?

Set purpose, camera zones, roles, access, storage and deletion periods before operation and limit the processing to your necessary logistics and security processes.

From visible bottleneck to validated operation

What task should your cameras be based on logistics and warehouse?

Together, we test your camera scenes, image quality, platform role, necessary integrations and measurable success criteria based on your real data and processes.

Discuss your use case