Managing patients is expensive, and the healthcare system must shift from treatment to prevention and long-term care management. Through machine vision, knowledge mapping, deep learning and other artificial intelligence technologies, we can simulate the medical professional’s thinking, reasoning diagnosis, helping doctors to locate the condition, assisting in making diagnosis, and improve the efficiency of medical care.

Application Scope:

1. As a patient: Which department should I go to? Who is the most famous doctor? When will you arrive at the clinic? H ow to take the medicine prescription by the doctor, what to pay attention to, side effects?

2. As a doctor: a clinic queue up to 150 every day, there are patients requesting to be added to the list, but there is not enough time. Each patient can not speak two sentences and in some special cases, it is very challenging to take time to think about the treatment plan. By drilling AI a large amount of medical information exchange and analysis of the use of medical diagnostic assistance can enhance the quality of medical care.

3. Hospital management: how to design the medical check process to be efficient, saving patients' time, laboratory tests, how to design the examination process so that no mistake will be made, how to manage & warn of epidemic infectious diseases, how to avoid misplacing and losing tens of thousands of medical materials.

Through deep learning, machine learning and other technologies, it can realize image data training such as pictures and videos. High-intensity dynamic pedestrian flow, GPU acceleration is enabled to conduct ultra-fast search algorithms for massive face databases.

Application Scope:

1. Security control and preservation

2. Access control and access management

3. Employee time and attendance clocking

4. Public safety and technology law enforcement, wanted persons matching & assisting in searching for missing persons & lost elderly

5. Public computer login unlocking, with the popularization of the network government digitization push, the risk of leakage of government secrets or personal data is increasing daily, in the awareness of the rise of the protection for information security, in order to protect sensitive information, many agencies or units have begun to promote relevant information year by year. To protect sensitive information, many agencies and organizations have begun to promote relevant measures year by year.

The use of knowledge map technology, deep learning and other technologies can be applied to human body analysis, image analysis, vehicle analysis, behavior analysis and other security scenarios. Operators in large-scale and wide factory need to wear masks, helmets, goggles, sun hats, etc. all day long due to long hours of work in outdoor environments, coupled with epidemiological management and personal safety considerations, resulting in localized masking of the human face, which makes face recognition more difficult.

Application fields:

1. Intelligent factories and warehouses for security 2.

2. Intelligent security control systems for home use

3. Preventing unknown or blacklisted personnel from entering premises.

4. Public transportation passengers and flight crews boarding and checking in, border entry control

5. Using specific resources or professional machinery and equipment.

Utilizing technology, it is to provide customers with a more convenient, fast, and safe consumer experience, helping brands create online and physical store sales environments, optimizing the consumer shopping experience and process, and providing operators with more accurate decision-making analysis based on online consumer shopping behavior analysis and physical store historical sales data for more accurate future sales forecasts. In addition, in the retail industry, there are also common application scenarios such as unmanned sales and face payment.

Application Scene:

1. Retail: Smart advertising for electronic signage

2. Service industry: Identifying VIP customers and providing member benefits

3. Non-contact payment

4. AI analysis of customer behavior

In the entire financial and insurance operations, it is necessary to strengthen fraud prevention, prevent identity theft, use a fast and cost-effective way to securely open an account, allowing customers to simplify the remote processing process, while protecting the integrity of the account, saving customer waiting time on-site, speeding up the efficiency of service delivery to speed up and strengthen the customer identity verification process.

Application Scope:

1. Determine credit and borrowing value intelligence analysis

2. Automated ordering of investment transactions

3. AI robot financial advisor

4. Customized and fast insurance recommendations

5. Credit card fraud detection

6. AI stock picking investment ordering, using machine learning algorithms to screen reliable investment strategies