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:

• 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.

• 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.

• 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.

• 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.