Do You Know About AIoT? The Practical Applications of Combining Artificial Intelligence with IoT
AIoT: a combination of AI (Artificial Intelligence) and IoT (the Internet of Things), has recently become a hot topic, but what practical applications and benefits are directly relevant to our daily work and personal lives? The real value of adopting AIoT technology not only lies in its ability to reduce labor costs, but also in the large amount of data that is accumulated in the background, which can be analyzed to generate business insights and enable intelligent decision making. Deploying AIoT technology into your organization is not an easy task, but GIGABYTE can help – providing solutions for facial recognition and data analysis systems that can quickly guide your company to enable intelligent digital transformation.
The Internet of Things (IoT) is a popular technology trend, which in
recent years has been joined with another popular trend, Artificial
Intelligence (AI) to form a brand new keyword: "AIoT". But what
exactly is “AIoT”?
traditional Internet of Things refers to the deployment of a large number of
physical sensors in a specific space, which can collect and return
environmental data at regular intervals, such as temperature, pressure and
sound. After integrating Artificial Intelligence, this IoT system can now not
only sense environmental data, but as long as it also includes video or
surveillance cameras, it can use “computer vision” enabled by AI deep learning
technology to “see” and “recognize” surrounding objects, such as people,
vehicles, numbers and animals, evolving this Internet of Things into an
intelligent Internet of Things.
The value of adopting AIoT
technology not only lies in assisting to reduce labor costs but also in its
ability to enable data analytics. When an organization builds a smart sensing
system it begins to accumulate a large amount of data daily, and can use high
performance servers equipped with data analysis software to transform this data
into business insights and intelligence for decision making, allowing the
organization to continuously learn and evolve. If IoT gives a computer system a
sense of touch and direction, AI gives it vision and learning capabilities.
Commercial Applications That Sneak Into Daily Life: Smart Retail
If we see our favorite products as soon as we walk into a store, we will immediately pick them up. Likewise, if we pass by an electronic billboard that always advertises the products we want to buy, our wallets will grow thinner and thinner. We feel confused – is somebody reading our mind?
The trick to this setup is a “Smart Retail System”: a camera system with computer vision capabilities that is installed within a store, which monitors the daily operations and uses image and facial recognition technology to collect data such as customer gender, age, product preferences, popular merchandise and the flow of customer traffic at different time periods.
The decision-making process in the retail industry has traditionally relied mostly on the experience of managers, but the pace of change in today’s marketplace is too fast, and these traditional methods are no longer able to keep up with the changing habits of consumers. To stay ahead of the competition, retailers must now be able to accurately predict consumer behavior via data analytics, using the results as a basis for improving marketing strategies such as product types, furnishings and in-store advertising, and even to explore the hidden desires of their customers.
For example, when a department store holds its annual sale, the system detects that most customers are 30 to 40 year old women, and automatically uses smart electronic billboards to advertise popular cosmetic products, effectively increasing customers’ willingness to purchase them.
A smart retail system can also track the physical areas where customers linger for the longest amount of time during store opening hours, in order to place different key products in these areas to increase their turnover, or determine whether a specific product promotion has had any effect. The future of successful retail marketing is not about guesswork, but using concrete data to ensure that every cent that is invested can have a definite return and can maximize the efficiency of the store.
《Learn More: Smart Retail Solutions Based on Customer Behavior that Subvert Traditional Retail Models》
An Office Building Integrated with a Smart Security System
At the same time that smart retail technology is becoming part of our leisure time, an intelligent Internet of Things has also entered our workplace. A company can now install a network of environmental sensors within their office building, which continuously collect data such as indoor brightness, temperature and the number of personnel present. According to these parameters, the intelligent building can then adjust the brightness of internal lighting, air-conditioning temperature or even the flow direction of people. When the system recognizes that there is no-one in the office even though the lights are all turned on, it will automatically turn them off or reduce their brightness, avoiding an unnecessary waste of energy and saving a considerable amount of money on electricity bills every year.
In addition, a smart office building can feature an access control system enabled via facial recognition technology. A camera detects the facial features of a person and compares it to a database for matching – if it is within a certain error range, it will generate a matching result. Using the system, employees no longer need to physically clock on or off, but simply scan their faces as they walk by. Staff even don’t have to bother signing their name on an attendance list for compulsory meetings – their presence will be automatically recorded when they walk through the meeting room doorway. In this way, HR can easily gather attendance records to be used as reference data. Biometric recognition can also greatly improve the accuracy of identity verification and eliminate timesheet fraud such as “buddy punching".
Deploying AIoT technology into your organization is not a simple task, but GIGABYTE can help – providing solutions for facial recognition and data analysis systems that can assist companies to easily achieve digital transformation with AIoT technologies.
A facial recognition system to control access in and out of a building has been wholly developed and manufactured by GIGABYTE, from the necessary server hardware and back-end control system to the front end interface, and even the facial recognition software algorithm, which recognize facial variations in the same person due to factors such as ageing. The system can then record and use these variations to improve the accuracy of the identification algorithm, greatly improving the company's security and safety.
Smart retail technology uses deep learning to identify the flow of people within a store and analyze customer behavior. GIGABYTE can also provide a solution in this field with our smart digital signage, which detect the facial features of a customer passing in front of the electronic display, immediately analyze basic information such as gender, age and mood, and then play appropriate product advertisements to create an interactive retail experience.
These developments have been enabled with Artificial Intelligence, requiring powerful computing capabilities that can be provided by the G481-HA1, a member of GIGABYTE’s GPU server series which has been developed as a “DNN Training Appliance”. The appliance can be used to create an on-premises self-built deep learning environment, and can automatically adjust training job parameters to improve the accuracy of the deep learning model, greatly improving computing efficiency and reducing training job time. This solution provides a better development environment for AI, allowing companies to more quickly focus on creating diverse AIoT appliances and bringing smart to life.