Intelligence
inside your
retail devices.

Edge AI  /  Vision AI  /  Digital Human

Explore the vision AI and digital human technologies behind Winmore Digital solutions—and how they fit into your hardware and software workflows.

Illustrative product recognition on a retail scale

DESIGNED FOR YOUR ECOSYSTEM

Retail ISVs

POS Vendors

Device Manufacturers

System Integrators

01/CORE CAPABILITIES

See the world.
Understand the customer.

Two complementary AI capabilities, connected to practical retail and self-service applications.

Vision ai capability diagram

01.A / VISION INTELLIGENCE

Vision AI

Turn camera input into product recognition and detection results for weighing, food checkout and self-checkout loss prevention.

Product recognition · Object detection · Checkout workflows

Digital human capability diagram

01.B / CONVERSATIONAL INTERACTION

Digital Human

Connect voice understanding, business content and expressive digital characters to create interactive self-service experiences.

Speech recognition · Language understanding · Voice & animation

02 / VISION AI IN ACTION

From an image
to the next action.

Recognition becomes useful when it connects to the way your retail application already works.

A camera supplies an image from the weighing or checkout environment.

The selected AI solution processes the input and returns relevant results.

Your application uses the result within a product, pricing or checkout workflow.

INPUT → ACTION

Camera input

Product images from the retail device

Vision AI engine

Recognition / detection for the selected solution

Your retail application

Product matching / Weighing / Checkout response

03 / DIGITAL HUMAN INTERACTION

A more natural way to self-serve.

Bring a voice and a visual presence to self-service terminals. Help users ask questions and access information through a conversational interface.

VOICE → INTERACTION

Listen & understand

Speech recognition → language understanding

Connect to business content

Service information and configured conversation content

Speak & animate

Voice output with synchronized character animation

Spoken words become input

ASR

Convert speech into text for the interaction workflow.

Understand the request

NLP

Interpret the question and connect it to relevant business content.

Deliver a spoken, visual response

TTS

Combine speech output with digital character animation.

04 / DEPLOYMENT APPROACH

Designed around your device environment.

Keep supported AI tasks close to the device.

iScale supports offline product recognition and on-device new item training. Integration options include Windows, Android and Linux SDKs.

Platform support and offline capabilities vary by solution. Confirm your target hardware and software environment during evaluation.

Device-side ai architecture

Connect updates to your rollout.

iScale supports training-data synchronization across terminals and store locations.

For digital human projects, confirm which interaction components run locally and which require a network connection.

Connected workflows architecture

05 / TECHNOLOGY MEETS APPLICATION

One technology story.
Real retail applications.

Explore the solution that matches your device and business workflow.

⊞

iScale

AI product recognition for retail scales and fresh-food weighing.

⌖

iDetector

AI loss prevention for self-checkout and POS environments.

▱

iCanteen

AI food recognition for cafeteria and bakery checkout.

◎

iHuman

Digital human interaction for kiosks and self-service terminals.

06 / START WITH A PRACTICAL EVALUATION

From technical fit
to integration.

01 / DEFINE

Share your environment

Identify the application, operating system, device specifications and workflow you want to improve.

02 / INTEGRATE

Review the interface

Discuss the relevant SDK or local service, data flow and customization scope for your solution.

03 / VALIDATE

Test in your conditions

Evaluate recognition or interaction quality, response time and business flow on representative hardware.

—   INTEGRATION QUESTIONS

Before you get started.

A few practical points to guide your technical evaluation.

iScale supports offline recognition and on-device training. Other products and connected functions need their own deployment review; offline support should be confirmed for the capabilities you need.
iScale lists Windows, Android and Linux SDKs. Share your operating system, processor and target solution to confirm the applicable integration options.
Use representative devices, products and operating conditions. Agree on the test set, accuracy definition and end-to-end response-time measurement before comparing results.
Your company role, target product, device specifications, operating system, application workflow, connectivity requirements and expected rollout scope.

— BUILD YOUR NEXT AI-ENABLED SOLUTION

Let’s talk about
your integration.

Tell us what you are building. Start with the technology and deployment options relevant to your project.