Invented by Bao Tran, Ha Tran, Individual

The market for voice-controlled appliances has witnessed significant growth in recent years, as consumers increasingly seek convenience and efficiency in their daily lives. From smart speakers to smart TVs, voice control technology has revolutionized the way we interact with our appliances, making our homes smarter and more connected than ever before. One of the key drivers of this market growth is the increasing popularity of virtual assistants such as Amazon’s Alexa, Google Assistant, and Apple’s Siri. These virtual assistants have become an integral part of many households, providing a seamless voice-controlled experience across a wide range of devices. With just a simple voice command, users can control their appliances, play music, set reminders, and even order groceries. The market for voice-controlled appliances is not limited to just smart speakers. It extends to various other household appliances such as refrigerators, ovens, washing machines, and thermostats. For instance, voice-controlled refrigerators allow users to check the contents of their fridge, create shopping lists, and even order groceries directly from the device. This level of convenience has transformed the way we manage our homes and has made mundane tasks much more efficient. Another factor driving the market for voice-controlled appliances is the increasing integration of artificial intelligence (AI) and machine learning technologies. These technologies enable appliances to learn and adapt to users’ preferences over time, providing a personalized experience. For example, a voice-controlled thermostat can learn the temperature preferences of different family members and automatically adjust the temperature accordingly. Furthermore, voice-controlled appliances offer enhanced accessibility for individuals with disabilities or limited mobility. They can easily control their appliances without the need for physical interaction, making their lives more independent and comfortable. The market for voice-controlled appliances is also being fueled by the growing trend of smart homes. As more homeowners invest in smart home technologies, the demand for voice-controlled appliances is expected to soar. The ability to control multiple devices with a single voice command adds to the appeal of a smart home, making it more convenient and efficient. However, there are still some challenges that need to be addressed in this market. Privacy and security concerns are among the top issues. As voice-controlled appliances constantly listen for commands, there is a risk of unintentional recordings or unauthorized access to personal information. Manufacturers need to prioritize privacy and security measures to ensure consumer trust and confidence in these technologies. In conclusion, the market for voice-controlled appliances is experiencing rapid growth due to the increasing demand for convenience, efficiency, and connectivity in our daily lives. With advancements in AI and machine learning, voice-controlled appliances are becoming smarter and more personalized. As the trend towards smart homes continues to rise, the market for voice-controlled appliances is expected to expand further, transforming the way we interact with our appliances and making our homes truly smart.

The Individual invention works as follows

An Internet of Things (IoT), device verifies user authentication by combining voice, images, and mobile devices.

Background for Voice controlled appliances

The present invention is related to the Internet of Things.

In one aspect, a Internet of Things (IoT), device includes a sensor body with a camera or accelerometer. It also has a processor and wireless transceiver attached to it.

Implementations/applications of the above aspect may include one or more of the following. IoT is used in almost every field due to its ability to network devices that have limited resources such as CPU, memory, and power. These systems can be used to collect information from natural ecosystems, buildings and factories. They are useful in the fields of urban planning and environmental sensing. IoT systems can also perform actions and not only sense things. Smart shopping systems could, for instance, track the mobile phone of a specific user to monitor their purchasing habits. The users can then receive special offers for their favorite products or the location of any items they require, as their fridge automatically sends this information to their phone. Other applications of sensing, actuating, and controlling are those that deal with energy, heat, water and electricity management, and cruise-assist transportation systems. “Internet of things applications can also be used to enhance home security and automate the home.

The Internet of Things creates the opportunity to measure and collect an ever-increasing number of behavioral statistics. The cross-correlation between these data sets could revolutionize targeted marketing. The IoT and big data work together. Data is the most important derivative of interconnectivity in media, and it’s also crucial for targeting. Internet of things transforms media, businesses and governments. It opens up a whole new era of growth and competition. This industry generates a wealth of data (i.e. “Big data” will enable practitioners in advertising and the media to get a more elaborate view of the current targeting mechanisms that are used in the industry.

Environmental monitoring applications are typically used to monitor air, water, soil, or atmospheric conditions. They can also include monitoring wildlife and their habitats. The development of devices that are resource-constrained and connected to the Internet allows emergency services to use other applications, such as earthquake or tsunami early warning systems. IoT devices used in this application can cover a wide geographic area, and they are also mobile.

Monitoring and controlling the operation of urban and rural structures like bridges and railway tracks as well as on-shore and offshore wind farms is a key IoT application. The IoT infrastructure is a great tool for monitoring events and changes in structural conditions which can increase safety or compromise it. The IoT infrastructure can be used to schedule repair and maintenance tasks in a more efficient way, by coordinating between service providers and the users of these facilities. IoT devices are also used to control critical infrastructure, such as bridges that provide access to ships. The use of IoT devices to monitor and operate infrastructure will improve incident management, emergency response coordination and quality of service. It will also reduce costs and increase uptime in all infrastructure-related areas.

IoT includes digital control systems that automate processes, operator tools, and service information systems for optimizing plant safety and security. It also extends to asset management through predictive maintenance, statistical analysis, and measurements in order to maximize reliability. Smart industrial management systems are also compatible with Smart Grids, which allows for real-time optimization of energy. A large number of sensors are used to provide measurements, automated controls and plant optimization. They also perform other functions such as health and safety management and health and safety management.

The term IIoT, Industrial Internet of Things (IoT), is frequently heard in manufacturing industries. It refers to the industrial subset of IoT. IIoT could be so valuable to manufacturing that it would eventually lead to a fourth industrial revolution. According to estimates, in the future, companies that are successful will be able increase their revenue by utilizing Internet of Things. They can do this through creating new business model, improving productivity, leveraging analytics for innovation and transforming workforce. The integration of sensing systems and actuation devices connected to the Internet is likely to optimize overall energy consumption. IoT devices are expected to be integrated in all energy-consuming devices, including switches, power outlets and bulbs. The utility company will be able communicate with IoT devices to balance energy production and consumption. These devices will also allow users to remotely manage their devices or centrally control them via a web-based interface. They can also perform advanced functions such as scheduling (e.g. remotely turning on or off heating, controlling ovens or changing lighting conditions). The IoT has a special relevance to Smart Grid, as it allows for the automated gathering and processing of energy-related data. This is important to improving the efficiency, reliability and economics of the production and the distribution of electricity. Electric utilities can collect data on end-user connections using metering infrastructure devices (AMI), connected to the Internet. They can also manage distribution automation devices such as transformers and reclosers.

IoT devices are a great way to monitor remote health and alert emergency systems. These devices range from simple blood pressure monitors and heart rate monitors, to more advanced devices that can monitor specialized implants such as pacemakers, Fitbit wristbands or hearing aids. Some hospitals are implementing “smart beds”. They can detect when the bed is occupied or when a patient tries to get up. The system can adjust itself so that the right amount of pressure and support are applied to the patient, without the need for manual intervention by nurses. Sensors can be installed in living spaces that monitor health and well-being, and also ensure the proper treatment and assistance is administered. IoT also allows for other consumer devices that encourage healthy living. These include connected scales and wearable heart monitors. IoT health platforms that monitor health from end to end are becoming more common for chronic and antenatal patients. They help manage vitals, and medication needs.

The reader should understand that this application contains several inventions. Instead of separating these inventions and filing multiple separate patent applications, the applicants have grouped them into a single document. This is because their similar subject matter allows for economies in the application. It is important to distinguish between the different aspects and advantages of these inventions. Some embodiments may address all the shortcomings noted in this document, but it is important to note that these inventions are useful independently. Other embodiments might address only a small subset of those problems, or provide other benefits not mentioned here, which will be obvious to anyone with skill in the field who reviews the disclosure. Some inventions may not be claimed at this time due to cost constraints. They may be claimed later, through continuation applications or amending the claims. Due to space limitations, the Abstract and Summary of the Invention sections of the document should not be interpreted as containing an exhaustive listing of all inventions or aspects of inventions.

FIG. 1A shows an example of a communication environment between a monitoring device and external computers. In FIG. In FIG. In one example, a monitoring device can include an extra switch and user interface. The user can use the interface to trigger the transmission of comparison data between the hand or foot patterns and the stroke patterns to the remote device. The transmission can also be done automatically every time the device is used or by placing the sport devices in a base or cradle. The monitoring device can be integrated with the sport device 9 or encapsulated together. A radio transmitter can also be placed separately, such as in a battery charger or base. In this example, the interface may have contact terminals on the sport device 9 that are connected via wired connections to the terminals of the battery charger to forward the results of the comparison. The terminals may also be connected wirelessly or by induction. The battery charger’s radio transmitter then transmits the comparison result to the remote device via the wireless radio link. In FIG. The remote device in FIG. 1A may be a cell phone 16, PDA, or computer 19. It receives information directly from a monitoring device through a short-range radio connection. Examples of this are Bluetooth, Wifi, or Zigbee. In one example the remote device user may receive information on how much the sport device 9 was used, or whether a new sport device is needed. FIG. 1A shows an alternative example of a radio transmitter using an intermediate receive 17 and a wireless network 18, for instance a cellular system. In this example as well, the radio transmitter can be connected to the sport device 9, or alternatively, in connection with a charger or base station for the sport device 9. In this example, the result of the comparison may be sent via an intermediate receiver 17, and the network 18, to a remote system 19, 16, located farther away than, for example, the range of a radio short-range system. The remote device 19, 16 can be any device that is capable of receiving signals from the network 18, and providing feedback to an output device. An advertiser may be able to provide an advertisement by transmitting information through a cellular system. A comparison result can be enhanced with an advertisement using the network elements of the cellular radio system. A user can receive an advertisement along with the result of the comparison. The advertiser can offset all or part of the costs for transmitting the comparison results from the sport device 9, to the remote device 19, 16, with this solution.

FIG. The block diagram 1B of the unit 9 is shown with processor/RAM/ROM 11 in it. The unit 9 contains a motion detector, a multi axis accelerometer and a strain gauge 42. The multi-axis acceleration sensor can be either a three-axis or two-axis device. The strain gage 21 measures the force that is applied to the ball in a z-direction. The microprocessor acquires acceleration and force data at a sampling rate of 10 to 50 samples/second. The acceleration data can be used to determine motion using the algorithm described below. It is not converted into position data. The sensors and strain gauge are not located in the head area, so the head can be removed and replaced, e.g. by threaded engagement to the handle (not illustrated), so the sport device can be used even after the instrument has worn out. You can use any removable cartridge or head you want.

The unit 11 includes a camera which can be 360-degree camera. The camera can also be a 3D one, such as a Kinect or Intel RealSense camera. This allows for easy generation of 3D models for objects and distance detection. Each camera is equipped with a high-performance GPU that performs local processing. The processed images, sounds, and odors are then uploaded to cloud storage to be analyzed.

The unit 11 has an electronic nose that detects odor. The electronic nose may be a simple MEMS device that acts as a particle counter. The electronic nose can include a fan unit, a gas-molecule sensor unit, a controller unit, and an output unit. The fan module pumps air into the gas molecule module. The fan module pumps air into the gas molecule module. Gas molecule sensors are at least covered with a material. The compound is used for combining preset gas molecules. The control unit commands the fan module, which draws air into the electronic nasal device. The fan module then transmits an air flow to the gas sensor module in order to detect data. The output unit calculates detected data and generates a calculation result. It then outputs an indication signal to an operator, or host computer compatible with the calculation result.

An electronic sensor for the tongue can be used to detect liquid or sweat quality. The tongue is composed of a liquid-molecule sensor module, an output unit, and a control unit. The liquid molecule module is sprayed or wiped with body liquid. The liquid molecules are detected by the molecule sensor module. The liquid molecule module includes at least a molecule-sensing element that is coated with a compound. The compound is used for combining liquid molecules. The control unit is used to drive the stirring module and pump liquid into the electronic tongue device. The electronic tongue device is then pumped with the liquid to be?tasted? The module then transmits a current flow to the liquid-molecule sensor module in order to produce a detected value. The output unit calculates detected data and generates a calculation. It then outputs an indication signal to an operating system or host computer compatible with the calculation. This electronic tongue can detect fog, liquid and other qualities.

The unit 11 can be adapted to different situations by attaching a probe to various sport probes and instruments. This probe will provide diagnostic information about an object, such as a naturally-occurring structure, materials that are placed within it, or structures that have been affected or infected, or structure which has been eroded. The probe 20 produces electrical outputs that are interpreted by either a smart phone, or computer.

In one embodiment, the transducer 20 can be a vibrational transducer which sends out vibrations with a known frequency and amplitude. The probe 20 includes a receiver, which could be an accelerometer for example. The accelerometer is connected to a computer and attached to the teeth. The accelerometer digitizes vibrations received and sends them to the computer or phone. Transducers can be single piezoelectric or arrays of elements that fit into a mouthpiece, or an appliance worn over the arch. Transducer elements may be mounted on silicone rubber or another material that dampens mechanical coupling. The array can be constructed from other materials. Transducers can be made from piezocomposite or other materials that convert electrical energy into acoustic. The receiver can be positioned so that it fits in the mouthpiece. The receiver can be an accelerometer or a piezoelectric device.

The computer software compares the inputs with known vibration responses that correspond to hitting states on a sport ball or object. The computer 30 shows a response for the user on the screen.

FIG. The schematic of FIG. 1B. The app 2 could be, for example, a computer-implemented method. An executable computer program can be provided to execute the app 2. The app 2 contains code for:

(21), capture user motion using accelerometer or gyroscope

(22), capture VR views using camera and GPU

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