Smart Retail Solutions

Why to choose ASUS smart retail solution?
  • Fast learning
  • Express checkout
  • Cyber Security for both IT and OT
  • Flexible and Scalable with Client needs
  • Intel IoT Solutions Alliance
  • Adding Value with API Integration
  • Manageability
Mask Detection Facial recognition system

Wear a mask or not , accuracy 98%.

In the situation of pandemic, it is required to put on mask when stay indoor of public. Once customers entering the market, ASUS IoT facial recognition and mask detection can be deployed at the gate. It can also link to door opening mechanism. Accuracy is up to 98%.

People flow and crowded density

The accuracy is up to 98%.

Social distance is highly concerned. How to keep enjoyable shopping experiences but not to compromise measurement for healthy. ASUS IoT People flow and crowded density are an important information not just for marketing but also healthy security. Total number of customers can be controlled in order to keep social distance. The accuracy is up to 98%.

Objection recognition

The accuracy is up to 90%.

To reduce the chance of contact, self-checkout can be smarter. ASUS IoT AI with objection recognition can autonomously detect and even calculate the cost of purchasing. You don’t need to scan the barcode anymore. Just put all your purchasing on the weight and pricing will be detected and calculated automatically. All information will have alignment with restoration of a stock, so it’s easier for retailer to manage the stock. The accuracy is up to 90%.

ASUS IoT cyber security

OT networks protection and monitoring.

The security of operational system for a shop,ASUS IoT cyber security is always headache for shop owner. You may have information technology protection, but it doesn’t mean operational technology protection is also in place. ASUS, alliance with Gorilla, provides solutions for OT networks protection and monitoring.

Related Product Information
PE200 Series

PE200 is an edge aggregator, which we utilize Intel Core-I 15W or ATOM processor which brings more powerful computing capability so that it is able to be placed in the 2nd layer of the network topology. The edge aggregator is used to aggregate all the data collected from the gateways.

Tinker Board Series

Tinker Edge T is a single-board computer (SBC) specially designed for AI applications. It features the Google Edge TPU, a machine learning (ML) accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications. With this onboard ML accelerator, Tinker Edge T is capable of performing four tera-operations per second (TOPS) using only 0.5 watts per unit of computation. It is also optimized for TensorFlow Lite models, making it easy to compile and run common ML models.