There are many kinds of intelligent thermometers today, such as external thermometers and ear thermometers. Most of these products are small in size, equipped with batteries, are easy to carry, and adopt to Bluetooth technology. Their measurement speed is also fast, where in most cases, the result shows in one second.
When the temperature of a person is too high or too low, the alarm function is triggered. With such alarm, the person will know his body temperature right away and get timely treatment as soon as possible.
Safe and Convenient
The measurement method used in smart Bluetooth electronic thermometers is more convenient and accurate than the underarm temperature measurement and oral measurement. The temperature under the armpit is the temperature of the epidermis, which cannot accurately reflect the core body temperature. On the other hand, the oral temperature measurement can be affected by drinking water and diet, and avoid cross infection.
The measured data is accurately displayed on the screen, and the readings are most likely clear. The new sets of measured data are then stored in a memory for easy viewing and comparison.
Basic class – Contact thermistor temperature measurement + LCD display temperature
Standard edition – Infrared sensing + display
Professional version – Contact temperature measurement, Bluetooth connection app
Smart Bluetooth Electronic Thermometer
Basic hardware features:
Highly sensitive temperature sensor (32 ° C – 45 ° C)
Long press on/off
Low-power standby (less than 1uA)
Standard Edition hardware features:
Long press on/off
Professional Edition hardware features:
Highly sensitive temperature sensor (32 ° C – 45 ° C)
Urbanized life has brought many conveniences to people, especially that theaters, bars, large hotels, restaurants and other cultural and entertainment venues, as well as large shopping malls are just within reach. Then again, it seems that traditional manual sales methods are not in line with people’s current shopping habits. The good news is that people know how to adapt. And with the increased demand for convenient and easy shopping, elegant, practical, and interesting vending machines have begun to attract attention.
Self-service vending machines are now being used to serve modern fast-paced people, who currently have a need for nutrition, taste, and convenience. But we cannot deny the fact that the traditional sales method still exists, where business owners prefer to open a physical store.
Although these existing physical stores offer various styles, grades, and options to customers and meet their needs, they still have disadvantages, such as low efficiency, tight seat, and long distance. In addition, if customers want to eat delicious, tasty, and temperature-appropriate meals at a certain time, traditional physical stores can’t provide them on the spot.
In addition, if the customer is transiting on the road or if the time is urgently needed to solve the problem of eating quickly, even if the physical fast food restaurant is selected nearby, the demand for immediate meal cannot be satisfied. In response to this problem, it is urgent to design a vending machine that can be placed in crowded places such as office buildings, industrial parks, stations, terminals, and commercial circles to meet the needs of diners for convenient and fast dining.
The Vending Machine Design Process
The general process observed for designing vending machines include the following:
The organization of user groups
Setting of user tasks
Making a UD matrix based on user groups and user tasks
Use a UD matrix to construct design points
Comprehensive design based on design points
Perform a sharing evaluation of the design plan
Intelligent Vending Machines
1. After the user makes a selection, the vending machine program will initiate a payment request QR code (WeChat, Alipay or other electronic payment) to the backend server. This QR code will then be displayed directly on the vending machine display.
2. After the customer scans the code, the backend server will check whether the payment account has received the payment. If it is received, the backend server will issue shipping instructions to the vending machine, and the vending machine will ship according to the instruction.
An intelligent vending machine has many functions and the principle is very complicated. Some do not need to pay according to the input picking code. The concept is that the customer inputs the picking code or the lottery code. Next, the vending machine sends the picking And the backend server picks up the goods. The code is verified next, and the corresponding shipping instructions are sent to the vending machine. Finally, the vending machine dispenses the corresponding item and does what is specified in the instructions.
The working principles and concepts of modern-day vending machines are basically similar. However, it is worth noting that there are more and more intelligent vending machines being released on the market. Well, it’s nothing surprising because after all, it is more convenient to use mobile phones to scan codes and shop for goods.
User Task Settings
Based on the analysis of the use process, structure function, and the use environment of the vending machine, the user task model of the vending machine can be summarized into basic tasks and individual tasks.
The basic task model of the user can be summarized into the following stages:
(1) preparing to start the work,
(2) getting information,
(7) and ending of the work.
The user’s individual task model can be obtained by further refinement of the user’s basic task model:
(1) Finding and identifying vending machines;
(2) View the working status of the vending machine;
(3) Observing the types, prices, and sales of goods sold;
(4) looking for the coin slot; input currency;
(5) Click the selection button corresponding to the item to be purchased;
(6) The vending machine is shipped, the pick-up port baffle is pushed open, and the goods are taken out at the pick-up port;
(7) Find the machine, find the change, and take out the remaining coins at the zero position;
(8) End shopping and leave.
User Group Finishing
The goal of sharing the entire vending machine design principle is to have more technologies that meet the needs of all people and reach a society that is completely fair and caring. But under normal conditions, it is very difficult to do, especially in the absence of ideals, hard work, and direction.
In fact, it is impossible for any product to satisfy all users, because there are some people with severe physical, sensory, and cognitive disabilities, who are unable to use certain products, including vending machines.
As can be seen from the shared design pyramid, people with severe dysfunction need special facilities or special designs to make their lives better. With this shared design, the use of product can be maximized, not only to a specific vulnerable group.
The focus of a shared design is put on groups that have certain behavioral abilities and have a common intersection with the general population. With this vending machine shared design, not only the general population can benefit, but also the visually-impaired and hearing-impaired people, the upper limb-disabled persons, the lower limb-disabled persons, the elderly, women, the children, and the like.
The retail industry, which started from small shops in the last century, has greatly evolved. Today, the sales points are so vast with physical shop branches, agents, unmanned shelves and tomorrow’s artificial intelligence robot pilot point. As you can see, the whole change is slowly shifting to free hands and do more. When the retail industry spread in the form of a star fire, it has occupied a large market, and it also brought great convenience to our daily lives.
Robots Add More Life to the Retail Industry
When the new retail industry is associated with artificial intelligence robots, we are introduced to artificial intelligence, autonomous sports planning, and other technologies that aim to provide customers with personalized shopping services, efficient and accurate marketing for branded merchants, open retail platform for operators, and lastly, online and offline integrated marketing data management.
Improved Offline Shopping Experience
In terms of customer reception services, intelligent robots can provide services, such as welcome reception, service inquiries, navigation guides, etc., that create a more interactive and attractive offline shopping experience for customers. These robots can also identify VIP customers for faces. With the launch of the exclusive VIP services, intelligent robots can already assist customers to accompany their children’s family members, attract children’s passengers, and extend time for customers to stay, so that they can enjoy shopping even more.
Intelligent and Precise Marketing
Intelligent robots can complete intelligent and accurate shopping guides through product information search, interest recommendation, and brand merchant guidance. At the same time, they also serve as a mobile and interactive advertising platform that can push ads based on location information during navigation. The robot can provide users with online platform drainage, online video shopping, remote shopping, and other services for registered members and VIP customers online. In an online physical environment, virtual goods and offline physical goods can be promoted to further expand a marketing space. Moreover, in today’s popular unmanned stores, intelligent robots actively guide customers into the store, answer customer inquiries, improve the operational efficiency, and the flow of incoming stores.
Excellent Data Capabilities
The data capabilities of intelligent robots mainly focus on data collection and data operations. As one of the traffic portals for offline retail scenarios, robots may be used to record each interaction and consumption data accurately. In real time, they can also synchronize with the cloud database. With the improvement of data volume and the continuous improvement of data applications, robots can analyze any application data to help merchants improve user portraits, grasp consumption trends and habits, and realize data-driven management and industry development.
Among all, the intelligent robot is not only considered an intelligent business terminal, a data collection terminal, and a data marketing terminal. It is also an important hub for connecting online and offline data and services. From terminal interaction and data collection, to data analysis and application, to the highest level of pre-judgment, this robot brings a typical professional intelligent hardware application based on big data architecture. All this said, it is safe to assume that the future value of smart shopping guide robots is limitless.
Core technology can be integrated into the retail scene, and robots can really be useful.
Intelligent robots have core technologies and functionalities, such as autonomous motion planning and artificial intelligence. Both can be integrated into retail scenes. Let’s take a look at the situation this way.
First, these robots use a motion platform designed for retail scenarios, which even in complex shopping mall environments of thousands of square meters, can accurately locate and accurately navigate. Also, robots can independently plan the path for precise navigation of merchant counters and achieve safe obstacle avoidance in public places. In addition to bypassing pillars, stairs and other fixed architectural furnishings in a mall, robots can also identify a deep environment, avoid dynamic obstacles like pedestrians that suddenly appear. With these robots, safety can be guaranteed even in public environments.
Interestingly, robots are also equipped with face matching technology, which can be used to serve VIP customers or assist merchants to register members for customers. They can also carry out personalized shopping guides based on gender, age, mood, and other facial attribute recognition. They can even be used for precise marketing to create a personalized shopping service experience for customers.
In the aspect of intelligent voice interaction, robots can adopt to a voice interaction scheme, combining open domain chat system and vertical domain dialogue system, and designs three levels of open domain chat system, grassroots vertical field dialogue system, and deep vertical field dialogue system. The dialogue corpus is based on industry. And the user’s business needs are customized. When talking with customers, robots can screen the conversation content like an hourglass, and finally focus on the customer’s needs or interests. Soon thereafter, they can recommend a product or service that best matches the information provided.
In the process of providing interactive services for customers, robots continue to accumulate professional knowledge and colloquial corpus, and gradually build an increasingly sophisticated retail industry knowledge base based on robotic autonomous learning and system iteration.
More than the application of robot core technology, LABx7 wants to provide users with integrated worry-free product delivery services, from the early stage of demand combing, customized secondary development, to robot dialogue corpus design and construction, operation platform maintenance, such as member face library and push content update, as well as regular product and system installation deployment, use training, and later System maintenance upgrades and more.
Online artificial intelligence can soon help promote the integration of science and technology into life in terms of social benefits. In terms of economic benefits, enterprises can reach more markets and obtain more profits with the highest attitude. Like today’s unmanned shelves, to the street adult shop, to the future artificial intelligence robot store manager, perhaps we continue to improve the quality of life on the road of technology. Obviously, technology plays a vital role in productivity. If we continue to study technology, lives will be better. Today is a new era of technological life. Let us quietly feel it coming.
It seems that 2018 is over, but as we look back in the recent months, we realize that there are still many things that are about to happen.
For example, we have witnessed the rapid implementation of new technologies, such as machine learning, AI, and the most popular, the Internet of Things. From the massive use of smart voice assistants, as well as smart home devices by consumers, to the sudden increase in the use of robots and advanced sensors, it appears that we are already on the brink of a dramatic twist in the way technology interacts.
When we imagine the coming year, we will once again look at the sparkling crystal ball and find outwhat the Internet of Things will bring in the near future.
Connectivity Will Still Evolve
IDC estimates that the spending on IoT will soar at a compound yearly growth rate of 13.6% between 2017 and 2022, which results in a total expenditure of $1.2 trillion in 2022. So, what does all this mean?
This means that more and more digital signal connections will enter all sectors of the enterprise and supply chain, and our homes will become even smarter. We’ve seen the proliferation of smart home assistants, including Google Home, Amazon Echo, and Apple’s HomePod. Facebook, on the other hand, isn’t outdone. They are working to push their Portal devices to try to bring some dedicated networking hardware to our home.
However, home connectivity might not only be limited to these devices because some companies aim to bring better connectivity technology to improve traditional home appliances, just like Samsung’s smart fridge. This is likewise common in connected cars. As Android, Apple, and other major players continue to work to make their interconnected techs an ultimate entertainment center on automobiles, one thing is certain: regardless of where we are or what tech companies are doing, connectivity will never be lost.
The Internet of Things Will Be Getting Closer and Closer to Us
The Internet of Things is literally getting closer and closer to us. Just take a look at the recent versions of Apple products, particularly the latest ones that integrate technology to monitor health stats. More and more consumer goods companies will seek to bring more connectivity techs that help improve our bodies in 2019.
Whether it would be smarter watches or smart fabrics on our clothes or digital pills, tech companies will continue to take advantage of these new technologies because of their ability to establish connections in our body to a healthy and well-being market around the clock.
International companies, such as Merck, Johnson & Johnson, Google, and Apple will begin to implement larger projects to connect our bodies and bodies more closely.
Data Breaches on a More Connected World
We have our fair share of experiences on data breaches, and major tech companies are not excempted to this, including Equifax, Target, Sony, and the Marriott hotel chain. Many of these attacks, such as the Target supermarket chain, were traced through the Internet of Things because hackers invaded data through a networked HVAC system.
But the public’s anger is not focused on “how” but on “why.” Because more consumers are becoming aware of their connected realm, everyone hopes that 2019 will be a turning point.
At this turning point, consumer data breaches will be able to track all connected systems and techs that penetrate our world. Mass media and the consumers will soon realize how many connections our world has, which will then likely trigger a subconscious reaction to how this connection make the world more vulnerable to hacking.
All this will hopefully prompt the government, the concerned sectors, and of course, the public to put more emphasis on ways to strengthen these hacking targets.
Increased Connectivity Awareness and Consumer Expectations
As consumers, most of us are accustomed to the entire express package tracking from the merchant warehouse to the delivery team. But we have to know that there is more to this.
As consumers become aware that connectivity is now better, they will begin to demand the Internet of Things. They will ask for an increased visibility. They would want to see where the product comes from. They would want to know how is it made. They would like to know how it gets to them.
Additionally, increased sensitivity to certain factors, such as the carbon footprint of an item, will trigger a range of supply chain issues, requiring information and improving visibility through better network connectivity services. This will encourage big brands and major supply chains to prioritize the ability to provide visibility.
We are in digital era. But 2019 will be a crucial year because consumers are more aware of the practical implications of this connection. As a result, greater pressure will be put in the hands of big brands and major global supply chains. They’ll be forced to take advantage of this digital connection to provide deeper understanding and insights on their products and services.
At present, there are challenges and opportunities for China’s manufacturing transformation. The emergence of new industrial technologies, such as Industry 4.0 and Industrial Big Data, have allowed “Made in China” to usher in new development opportunities. At the same time, these advancements have helped many lives to undergo rapid changes.
For instance, the GPS on your new car can tell the oven in your home that you are on the way. You will arrive home after 20 minutes, and the oven will start to bake food. At the same time, the air conditioning system at home will also be activated to ensure that the indoor temperature has been maintained at a comfortable 22 ° C when you enter the home.
The moment you walk into your home, you don’t need to press any buttons. The podcasts that you listen to on the way to work can follow you from the car, to the phone, and then to the home’s audio system. Even when you take a shower, you won’t miss a piece of content.
As you can see, scenes that seem to be in the future are now in our lives, thanks to the boom in the Internet of Things and smart devices.
Overall Innovative Solutions
We believe that the present industry 4.0 era’s composition can be divided into three major blocks: intelligent production, cloud big data technology, and overall innovative solution. Overall, these major blocks are called Become Industry 4.0.
However, in the past few years, the failure rate of smart hardware startups and investment has been extremely high. The form of intelligent hardware is too primitive. The so-called intelligence is mostly limited to networking. There are just so many unintelligent pseudo-demands.
Products also have limited control ability and lack research and development. They also do not undergo the entire process of testing, trial production, and mass production.
Based on these market pain points, LABX7 decided to invest in infrastructure, such as test labs, electronic hardware R&D equipment, and flexible manufacturing lines, to provide entrepreneurs with vertical depth technical services from product design to prototype production. We aim to discover the best quality projects to participate in the investment process.
A Shenzhen-Based Innovative Development Model
Labx7 is a global technology services innovation company, headquartered in Shenzhen, China. As the world’s leading IoT development and cloud service platform, we focus on product design engineering, development management, supplier resources, intelligent manufacturing, personalization, product distribution, and other product management services. We offer all this to help our partners from the conceptualization phase to the actual product development.
Shenzhen is China’s best “commercial engine.” Shenzhen, and its surrounding areas, can produce the best electronic products with the best technology, best quality, and best price at the fastest speed.
LABX7 builds the entire Pearl River Delta intelligent and intelligent industry system with Shenzhen as the center, and can shorten the delivery period of a new product (from the time of order, to the delivery time, including all intermediate links of preparation, production, transportation, etc.). No other country or region can match what we offer.
Scene Revolution Realizes New Dimensions of Product Innovation
In this advanced era, new scenes create new opportunities, and these scenes become an important entry point for the Internet. We use these scenes to create new connections between people and products, and eventually find new ways of interaction between people and products, environment, space and people, innovative products, and product business value enhancement.
Ultimately, we will provide a one-stop solution for user-centric products. LabX7 is committed to helping our partners deliver a superior customer experience, creating innovative, intelligent hardware products that enable them to maintain lasting, solid growth value, and added value in the marketplace.
After the rapid technology development in recent years, Ma Yun has finally proposed a new retail concept. Since then, the new retail wind has blown through every corner, and new retail species characterized by unmanned, shared, instant, and intelligent are everywhere, online and offline unbounded.
In addition, virtual and the reality blends, and the world is being refactored. Behind this is the transformation of data to the people’s yard, which is the subversion of technology to business.
In this wave of new retail, there are issues that operators must explore: how to transform traditional offline stores, how to guide offline to the line, how to optimize products, and how to implement new retails.
A few years ago, under the impact of the online store boom, a large number of physical stores have closed down, and now, the e-commerce giants have laid out the establishment of physical stores. Basing on the current situation, online shops and physical stores believe that the offline layout is still the focus.
2018’s sudden “unmanned supermarket” suddenly attracted the attention of countless people, especially the term “no one”, which is reminiscent of the trend of human machine intelligence replacing labor, and some people attribute it to “new retail”. Driven by results, the “fourth industrial revolution” started to sing hymns.
Amazon launched the new concept store Amazon Go early last year, and Japanese media are also beginning to make a big “unmanned cash register system.” Why do we want to popularize “unmanned supermarkets”?
Other than the “hurricane ignition” of technological development, controlling costs is probably the most convincing answer. According to statistics, even in developed countries, such as Europe, the United States, and Japan, the gross profit of the retail industry is only 15%-20%, of which labor costs account for about 12%.
In order to save costs, liberate labor makes up for the shortage of labor. No one supermarket or unmanned convenience store expected these solutions. Although the labor cost of China’s retail industry only accounts for about 7%, alleviating the profit pressure caused by excessive employment costs has almost become a demand in every aspect of the retail industry.
Behind the new retail concept, Nielsen and McKinsey gave a more practical answer. Nielsen said in the “2016 China Supermarket Shopper Trend Report” that as Chinese shoppers’, shopping habits matured and online shopping channels penetrated further. In fact, the penetration rate of convenience stores and online shopping increased from 32% and 19% respectively. To 38% and 35%, this trend has brought about the transformation of traditional hypermarkets and supermarkets.
McKinsey has a similar view about the 2017 China Digital Consumer Research Redefining the Customer Experience in the New Retail Era. Though omnichannel has become the new normal, offline channels are still an important node for customer experience and sales transformation.
For example, in the consumer electronics category, 93% of consumers will go online to research, and then go to the store experience; 96% of consumers will experience or purchase online.
From this point of view, the unmanned supermarket is not used to replace offline retail stores, but to compensate for the offline experience of e-commerce. Users experience consumption in unmanned stores, then place orders through the e-commerce platform. They then use logistics to deliver to the users, which will open up a series of links and opportunities, such as e-commerce, logistics, and offline. The essence of new retail is to eliminate the intermediate link, rather than simply reducing labor costs.
Obviously, the original intention of the new retail does not suggest that the people who are not in the supermarket are happy. It’s basically replacing the labor force to occupy the offline realm in a new mode.
Artificial Intelligence and the Internet of Things Create New Value
Artificial intelligence and IoT technologies create new retail value, helping enterprises achieve “low cost, improve efficiency, and experience”. Every business change is bound to be accompanied by major technological innovations. New retail is no exception.
In recent years, artificial intelligence and relevant technologies, such as vending machines, advanced identification devices, voice search, Internet of Things, big data, and sensing, have been continuously upgraded. They continue to generate and develop new business models. Wisdom stores are even said to be the key areas of various technology applications, and are referred to as the new retail “Gathering Dacheng”.
At present, artificial intelligence and IoT technology landing store applications include three primary types of application scenarios.
First, artificial intelligence technology is equipped with IoT technology, and image recognition and face recognition are managed by the camera. For example, after installing a camera or other sensing equipment in the store, the image recognition technology is used to evaluate the passenger flow, and the store service personnel are instructed to make adjustments and feedbacks according to the heat distribution in time to improve operational efficiency and reduce the cost of the human patrol shop.
The second scenario is the personalized recommendation of “Thousands of People”, which is based on the consumer’s historical consumption preferences for accurate recommendation. It aims to enhance the customer experience, which is both a means of precision marketing and can actually increase the volume.
Third, the brand realizes highly data-based management of supply chain, inventory, and store products through RFID technology. Taking the clothing store as an example, RFID technology can accurately count how many times a piece of clothing has been picked up from the shelf and is brought into the fitting. How many times, how to sell the details, help the store to achieve the grasp of the single product line, efficient management of store display and group goods, accurate grasp of consumer interest.