Help Center> Huawei HiLens> Service Overview> Application Scenarios
Updated on 2023-06-26 GMT+08:00

Application Scenarios

Huawei HiLens has two types of users: AI application developers and AI application users.

  • AI application developers

    Typical AI application developers include college students and instructors, professional AI developers or enthusiasts, and enterprises with AI development capabilities. These users may use Huawei HiLens to develop and deploy their own AI applications to end devices, verify their AI models and algorithms, or to gain some knowledge and experience or make some money. They can develop AI applications on the HiLens management console. After an AI application is developed, you can easily deploy it to a device to see how it performs. They can also release it to the skill market for other users to use, or share it as a template so that other users may use it to create their own applications.

  • AI application users

    Typical AI application users include AI software integrators, hardware vendors, AI deployment personnel, and AI O&M personnel. They can register their devices with the HiLens console, and then purchase skills from the skill market (such as skills for license plate recognition and safety helmet identification) and install them on their devices in one click.

These users can use Huawei HiLens in various application scenarios, including but not limited to the following:

Smart Home

Smart home cameras and homeware powered by HiSilicon Hi35xx series chips, as well as high-performance HiLens Kit devices powered by D chips can be used to improve intelligent video analytical capabilities. They can be used for:

  • Human figure detection

    Detects human figures in homes, records the time when a figure appeared, and sends an alarm to the owner's mobile phone if nobody is supposed to be at home at this time of the day.

  • Identification of people falling events

    Generates an alarm when detecting a person falling down. This is useful for elderly care.

  • Cry sound detection

    Intelligently identifies baby cries and sends alarms to target mobile phones. This is useful for baby care.

  • Word detection

    Generates an alarm when specified words (customizable) are detected, for example, "help".

  • Family album

    Identifies and obtains video clips about your children to create an album that records their growth.

Smart Campus

AI skills are delivered through the HiLens console to edge stations that are powered by Ascend chips, enabling the edge devices to process certain data. This function can be used in the following scenarios:

  • License plate/Vehicle model identification

    At the entrance and exit of a campus or garage, identifies license plates and vehicle models to implement intelligent access control.

  • Safety helmet detection

    Finds out workers who are not wearing safety helmets and sends alarms to preconfigured destinations.

  • Abnormal sound detection

    Detects suspicious sounds, such as glass breaking and explosion, and reports alarms.

  • Intrusion detection

    Generates an alarm when a human figure is detected in a specified area.

Smart Shopping Malls and Supermarkets

Devices that can be used in shopping malls and supermarkets to support intelligent applications include HiLens Kit devices, AI edge stations, and commercial cameras. One HiLens Kit device can support the analysis of four to five channels of video. HiLens Kit devices are compact and can be placed indoors.

  • Customer foot traffic

    Counts the number of people entering and exiting a shopping mall or supermarket in captured video images to analyze changes in customer foot traffic over different periods.

  • VIP detection

    Identifies VIP customers accurately to help formulate marketing strategies.

  • Statistics on old and new customers

    Counts the numbers of new and old customers in the entrance and exit.

  • Crowd heat map

    The crowd heat map shows the density of customers in each area, from which you can analyze the product popularity.

Smart In-Vehicle Devices

Smart vehicle-mounted Android devices intelligently analyze the internal and external conditions of vehicles in real time. These devices are used for:

  • Driver fatigue monitoring

    Monitors the driver's status in real time and generates an alarm when driver fatigue is detected.

  • Gesture analysis

    Monitors a driver's gestures, such as making a call, drinking, looking around, smoking, and other behavior that might indicate distracted driving.