ARTIFICIAL INTELLIGENCE-APPLICATIONS IN DAY TO DAY LIFE

     ARTIFICIAL INTELLIGENCE-APPLICATIONS IN DAY TO DAY LIFE

             Artificial Intelligence assists in every area of our day to day lives. Whenever we trying to read our emails, getting driving directions , music or some other movie recommendations etc.,

    SOME EXAMPLES:

• Social Media
• Digital Assistants
• Self - Driving and Parking Vehicles
• Email communications
• Web searching
• Stores and Services
• Offline experiences

SOCIAL MEDIA:

             In social media, AI makes it easier for the users to communicate with friends and business associates. Such as twitter,  facebook,  instagram, chatbots the impact of AI is big. They play a major role in social medias.

           If you are using social media, most of your decisions are being impacted by Artificial Intelligence.

DIGITAL ASSISTANTS:

           Apple's Siri, Google Now, Amazon's Alexa and Microsoft's Cortana are digital assistants that help users for performing many tasks like searching for something that we wanted in the web, sending commands to another app etc.,

          In Digital Assistants, the role of AI is more important because they learn from every single user interactions.

WEB SEARCHING:

             AI has been used to help with Google searches for quite some time. By using AI, the search engine attempts to guess what you might be trying to find.

OFFINE EXPERIENCES:

 PRODUCT RECOMMENDATIONS:

            Amazon, Flipkart and some other online retailers use AI to gather informations about the preference of  users and their buying habits. By gathering this information, then, they personalize your shopping experience related to your reference.

MUSIC RECOMMENDATIONS:

          

           Music services use AI to track your listening habits and by the gathered information they suggest some other songs in a way you like to hear.

SELF DRIVING CARS :

             Autonomous cars have been recently hitting the headlines and dominating technology talks. Surely they are the age of AI, which is being used to complement the driverless cars.

            Companies such as Tesla and Waymo are heavily invested in driverless cars. AI is seen as a game changer toward the success of autonomous vehicles.

                                

                          

             

ARTIFICIAL INTELLIGENCE

 ARTIFICIAL INTELLIGENCE

             AI is termed as Artificial Intelligence. It is the ability of a computer program or a machine to think like humans do. AI is using technology to do things which used to require human intelligence. For example, problem solving and learning ,speech recognition, planning etc.,

            In  August 31,1995, the term AI is coined  in a proposal for a "2month , 10 man study of artificial intelligence  submitted by John Mc Carthy. In 2006, five years before his death, he is announced as the father of AI.

THREE TYPES OF AI:

• Narrow or weak AI
• General or Strong AI
• Artificial superintelligence   

                 

           This Artificial Intelligence acted as the main driver of emerging technologies like Big Data, Robotics and IOT.

CURRENT AI IS USED IN:

             Retails, shopping and fashion. Security and survillance. Sports analytics and Activities. Manufacturing and Production.

FIRST AI PROGRAMMING LANGUAGE:

              The first practical and still most widely used AI programming language is the functional language Lisp developed by John Mc Carthy in the late 1950s.

               Lisp is termed as List processing, that was designed for easy manipulation of data strings.

SUBSETS  OF AI:

• Machine learning
• Deep learning
• Natural Language Processing
• Expert system
• Robotics
• Machine vision
• Speech recognition
  
  

THREE DOMAINS OF AI:

• Formal tasks
• Mundane tasks
• Expert tasks

SOME EXAMPLES OF AI:

• Google Maps and Ride Hailing
• Face detection and recognition
• Text editors
• Search and recommendation algorithms
• Chatbots
• Digital Assistants
• Social Media
• E-payments

ADVANTAGES OF AI:

1. Reduction in human error
2. Take risks instead of human
3. Available 24 *7
4. Helping in repetitive jobs
5. Digital Assistance
6. Faster decisions
7. Daily Applications etc.,

DISADVANTAGES OF AI:

1. High costs of creation
2. Making humans lazy
3. Unemployment
4. No emotions
5. Lacking out of box thinking

             

             

             

APPLICATION OF IOT - AGRICULTURE

 APPLICATION OF IOT - AGRICULTURE

                     Since sensors were  introduced in agricultural operations. But from that sensors we were not able to get live data from the sensors. By the introduction of IOT in agriculture , far advanced sensors are being utilised. The sensors are now connected to the cloud through cellular/satellite network , from that we get the real time data and to take decisions effectively.

                    It keeps various factors like humidity , temperature, soil etc., under check and gives a crystal clear real time observations. Hence, it is an application  of implementing connected devices and innovative technologies together into agriculture.

                   IOT in agriculture has come up as a second green revolution. It has helped  the farmers  in two ways by decrease their costs and increase their yields.

CLIMATE CONDITIONS: 

                     The climate plays a critical role in farming. We are unable to predict the condition of climate accurately. But by the application of IOT , we are able to know the real time weather conditions, by the use of many sensors that detect the weather conditions. The sensors monitor the condition of crops and the weather conditions surrounding them. If any disturbing weather conditions are found, then an alert is send to the farmer.

SMART GREENHOUSE:

                    IOT has enabled weather stations to automatically adjust the climate conditions according to a particular set of instructions to make our own greenhouse smart. For example: Using  solar - powered IOT sensors builds modern and inexpensive greenhouses.

AGRICULTURAL DRONES:

                   The introduction of agricultural drones in the agricultural operations is the trending disruption. The ground and the aerial drones are used to asses the crop health, planting, crop monitoring, crop spraying and field analysis. Drones with thermal or multispectral sensors indicate their vegetation index.

                      

                    

HOME AUTOMATION - IOT

 HOME AUTOMATION - IOT

                          Home automation by using IOT is a system that uses mobile devices or computers to control basic home activities and features automatically through internet  from anywhere around the world. An automated home is sometimes called as smart home. It means that, to save the electric power and human energy.

                       For example:fan, lights,outdoor lights, fire alarm, Kitchen timer etc., can be controlled using various control techniques.

                        Home automation may include centralized control of lighting,HVAC (heating,ventilation,and air conditioning),appliances, security locks of gates and doors and other systems, to provide improved convenience energy efficiency and security.

                         The essential components and materials for home automation using IOT project can be listed as a Wifi module, opto-coupler,TRIAC,resistors, capacitors, diode,regulator,loads(home appliances).

                         Sensors like motion sensors, temperature sensors, light intensity sensors, smoke detectors, humidity sensors etc.,are being accomodated with home automation and the data from these sensors would further be used to analysed to understand the use patterns  and in turn with deep learning used for the intelligence of the devices itself.

 Smart lighting ideas:

• On pressing one button all the lights turn on for a given room
• On double tap the same button to turn off all the lights in the room
• Landscape lighting can turn on automatically at sunset and off again at sunrise 

Smart security ideas:

• Automate your bedroom touch screen to see who is at the door when the bell rings from your front door or gate intercom
• Receive a text message when your security cameras detect motion
• Set a timer that closes the garage door automatically if it is left open for longer than 10 minutes. A motion sensor is used to keep the door open when you are working in the garage.

Everyday alerts and notifications:

• Receive a text alert when a garage door is left open.
• Receive an automatic text alert for a problematic event, such as pipe leak in the basement.
• Get a text message or push notification when the kids get home from school.
• Receive a text notification when its time to take medication.

                 

                      

                     

REAL WORLD IOT EXAMPLES

 REAL WORLD IOT EXAMPLES

                  Here, we are going to discuss some real world IOT applications such as IOT sensors, IOT data analytics, IOT tracking and monitoring system, connected health care system and finally wearables.

IOT SENSORS:

                 IOT sensors consists of manual or digital sensors connected to circuit boards such as Arduino UNO or Raspberry Pi2 . The circuit boards are programmed to measure a range of data collected from a sensor device such as carbon monoxide, temperature, humidity pressure, vibration and motion.

                  The IOT sensors allow seamless control of data through automation delivering actionable insights. They can be used by business for predictive maintenance, enhanced efficiency and reduced costs.

IOT DATA ANALYTICS:

                  Data analytics is the analysis of huge data volumes generated by connected devices. Widely known companies such as Microsoft, GE, Amazon,SAP and sales force  have already started implementing IOT data analysis into their day to day processess.

                  IOT data analytics app can analyze structured, unstructured and semi structured data to extract meaningful insights and also to investigate motion data sets, geographical data and health care data.

IOT TRACKING AND MONITORING SYSTEM:

                  Many business are using IOT systems for asset tracking. IOT  asset tracking devices use GPS or Radio frequency to track and  monitor properties. The smart devices can be used for long-range identification of assets.

CONNECTED HEALTH CARE SYSTEM:

                    IOT has more number of applications in health care industry. The technology can be used to provide high quality medical services using smart medical devices. It is also called as Internet of Medical Things(IOMT), the technology that can help in monitoring and supporting vital data which can help in making clinical decisions.

                    IOT medical devices can help in real time monitoring  of patients remotely. The devices can report an emergency like an asthma attack, heart failure etc.,immediately send information to a physician. This can help in potentially saving the lives of many individuals.

           IOT devices can collect health care including blood pressure, sugar level ,        oxygen and weight. Data can be stored in online and it can be accessed by the physician anytime.

WEARABLES:

                    Wearables have a explosive demand in markets all over the world. Companies like Google, Samsung have invested heavily in building such devices. They are installed with sensors and softwares which collect data and information about the users. This data is later pre-processed to extract essential insights about user.

                     These devices broadly cover fitness, health and entertainment requirements. The pre-requisite from IOT technology for wearable applications is to be highly energy , efficient or ultra low power and small sized.

                   

INTERNET OF THINGS

INTERNET  OF THINGS 

       IOT  represents the Internet of Things that describes the network of physical objects, it means "things" that are embedded with software, sensors and some other technologies for the purpose of connecting and exchanging data with other devices and system over the internet.

        It can also be defined as ,it integrates the interconnectedness of human culture-our 'things' with the interconnectedness of our digital information system 'the internet'.

       The term "Internet of things" was coined by Kevin Ashton , in 1999 during his work at Procter and Gamble. He is called as the father of IOT.

       The IOT was initially most interesting to business and manufacturing, where its application is sometimes known as machine to machine , but the emphasis is now on filling our houses and offices with smart devices, transforming it into something that's relevant to almost everyone.

How it works?

       An IOT system consists of devices , sensors which 'talk' to the cloud through some kind of internet connectivity. Once the data received by the cloud ,software processes it and then might to decide to perform an action, such as sending an alert or automatically adjusting the sensor or devices without the need for the users.

      IOT devices use a variety of methods to connect and share the data . Most of them use some form of wireless connectivity:homes and offices will use Wi-Fi , Zigbee,other devices will use LTE, LTE-M etc.,

       In the next few years , one  area of growth will undoubtedly be the use of 5G networks to support IOT projects. 5G offers the ability to fit as many as one million 5G devices in a square kilometre which means , that it will be possible to use large number of sensors in a very small area , making large scale industrial IOT developments as possible.

      Today so many technologies that enable IOT. The IOT is making the fabric of the world around us more smarter and more responsive, merging the digital an physicl universes.This IOT promises to make our environment , our houses and offices and vehicles smarter and more measurable.

SENSORS IN AGRICULTURE 

            Sensors in agriculture and forestry play an important role today. Now a days , smart agriculture is increasing in this world. This can be very useful to the farmers and also to get more cultivation in crops, proper maintenance ,etc,.Here, we are going to see some basic sensors that are using in the agriculture field.

pH SENSORS:

             The nutrients that we get from the plant growth is more essential for human and to the animals . By using pH sensors we get a deep knowledge about our soil conditions, how the nutrient consistency in our soil or the presence of any unwanted chemicals . These sensors are very helpful in smart agriculture to monitor daily or weekly or annually fluctuations in soil pH and nutrient values.

TEMPERATURE SENSOR:

             In two ways, this sensor play a great role in smart agriculture, ambient condition monitoring and mechanical asset monitoring.

             Highly accurate temperature and humidity sensors, preceise predictive temperature forecasts are imperactive to the ice wine industry.

LOCATION SENSORS:

              These sensors determine latitude,longitude and attitude of any position within required area. They take help of GPS satellites for this purpose.

OPTICAL SENSORS:

               This sensor is used to measure the properties of the soil. These sensors are installed on drones, satellites or robots to determine clay, organic matter and moisture contents of the soil .

GAS SENSORS:

              Gas sensors are important in agriculture  field for many number of applications.Commercial greenhouse control systems measure and temperature control and carbon dioxide concentration for optimal crop growth. The co2 guardian NG is designed for long term continuous measurement of co2.

               The Gascard NG sensor is widely used in pig and foultry processing applications to detect the co2  level where high concentrations of co2  are used.

                Spoilage of stored grains can be detected with gas sensor for co2 measurement .For monitoring methane emissions from agriculture and Dairy farming.

MECHANICAL SENSORS:

                It measures soil compaction or 'Mechanical Resistance'. The sensors use a probe that penetrates the soil and records resistive  forces through use of load cells or strain gauges.This similar technology is used on large tractors to predict pulling requirements for ground engaging equipment.

DIELECTRIC SOIL MOISTURE SENSORS:

                It access moisture levels by measuring the dielectric constant (an electrical property that changes depending on the amount of moisture present)in the soil.

AIRFLOW SENSORS:

               It measures soil air permeability. Measurements can be made at singular locations or dynamically while in motion. The desired output is the pressure required to push a predetermined amount of air into the ground at a prescribed depth. Various types of soil properties,including compaction, structure , soil type and moisture level, procedure unique identifying signatures.