Face recognition based door locking system

The security sector is experiencing diversification. This has brought about
the need to review the reliability of already existing systems and look into the possibility of creating better systems that are smarter and more secure. The old door security systems made use of keys, locks and chains. However, the locks can be easily broken and keys can get stolen or can be duplicated. In order to overcome this drawback, mechanical locking system was
introduced, that is, latches were used. Latches had better security than the
locks. Although, latches cannot be broken as easily as the locks, they make
the use of keys, which are not so reliable and can get stolen. Further, to
avoid these drawbacks, password based system was introduced. This
system used numeric combination to permit entrance to user.


But security is entirely based on confidentiality and the strength of the password.Modification was made in the password from numeric to alpha-numeric.Security describes protection of life and property. moved to biometric security system to ensure better security. Biometric security system includes fingerprint based system was the first biometric locking system. Using the fingerprints of a person for unlocking the door is main parameter for this system. However, like any other systems, they also have drawbacks. Fingerprints of a person can be duplicated. This can lead to opening of the door for unauthorized person. Finally research moved to image processing system. This system provides high security. When a person wants to access his locker, initially at the main door of locker and PIR sensor will be placed. This sensor will sense the body temperature of a person, standing near the door. And then, his/her image will be captured by
the camera installed at the main gate. This image will be given to the PC
where the Python software will compare this image with the authentic
images stored in the PC. If authentic, then only the door will open otherwise
it will remain closed and the alarm will buzz for further action.


Drowsy driver detection

Drowsy driver detection is one of the potential applications of intelligent vehicle systems. Previous approaches to drowsiness detection primarily make pre-assumptions about the relevant behavior, focusing on blink rate, eye closure, and yawning. Here we employ machine learning to datamine actual human behavior during drowsiness episodes.


Automatic classifiers for facial actions from the facial action coding system were developed using machine learning on a separate database of spontaneous expressions. These facial actions include blinking and yawn motions, as well as a number of other facial movements



Soil prediction for modern agriculture


Agriculture is a non technical sector where in technology can be incorporated for the betterment. Agricultural technology needs to be quick inimplementation and easy in adoption. Farmers usually follow a method called crop mutation after every consequent crop yield. The crop mutation allowsthe soil to regain the minerals that were used by the crop previously and use the left over minerals for cultivating the new crop. To know if the soil hasreached the point where it is unfit to yield the particular crop, farmer has to experience a loss in yield. One financial year for a farmer is very crucial toaccept the loss. This paper implements a that would help in maintaining the soil fertility consistently.


This method is traditionally implemented in manycountries where the change in crop is done after a loss in yield for cultivating the same crop continuously. There are soil parameters that come into consideration when we have to predict the soil quality. This method suggests the solution for the above stated problem using Machine Learning Techniques. This paper suggests a software enabled solution considering crucial soil parameters and soil factors to predict the soil quality.



Future in robotics

Robotics is the study of robots. Robots are machines that can be used to do jobs. Some robots can do work by themselves. Other robots must always have a person telling them what to do. Robots can work under extreme environments where it’s dangerous or impossible for humans to go. Robotics requires a working knowledge of electronics, mechanics, and software and a person working in the field has become known as a roboticist. It deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing. These technologies are used to develop machines that can substitute for humans and replicate human actions. In the future, robots with artificial intelligence will help make life easier for all of us – doing our dull, dirty, difficult jobs, and tackling tasks we simply couldn’t do ourselves.

Some future applications of Robots:

  • Space – Orbit manufacture of replacement parts
  • Tools for aircraft
  • Robots under ice focuses on the use of autonomous submarines to determine ice hazard risks for shipping
  • Energy installations in the arctic.
  • Drones for inspection of offshore wind farms with the use of autonomous surface vessels, creating a system which will automatically deploy and recover the inspection drones.

Future Food

AI equipped machines will also play a big part in the future of agriculture, reducing food production costs and improving land use. In future, robots or drones will precisely remove weeds or target them with pesticide, helping reduce chemical use by up to 90%, while tiny sensors could monitor crop growth and alert farmers to problems, or let them know the best time to harvest. Getting food to consumers will be greener, cheaper and easier, with the help of driverless vehicles. Autonomous delivery systems to the home will make on-demand deliveries much more economically viable. And because people will only order what they need, when they need it, food waste and the excess packaging associated with bulk buying in supermarkets will be drastically reduced.

Smarter Energy

In the future, our energy will be generated as low-cost, renewable resources, built and maintained in remote locations by robotic systems. Autonomous scouts will work in teams, exploring the earth to harvest energy, finding sources of renewable energy and natural resources, as well as monitoring bio-diversity and climate. Robots are already being used to monitor the safety of oil and gas pipelines: smart robots carry out internal, in-service pipeline inspection. The use of aerial drones to monitor large and difficult to reach areas, helping overcome issues of restricted access. Robots could even clean up waste such as plastics from our oceans, and other pollutants.

Working Together

Robotics and AI helps to change many things for the better. But with robots replace so many of the tasks that were traditionally done by humans, it’s gradually decrease our jobs. It’s probably more helpful to think. While some jobs may gradually disappear, there will be opportunities for new career choices that we probably can’t even imagine now. When humans and AI powered systems work together, they are most effective – the group of people and machines, using human imagination, creativity and personality, but combined with the precision and accuracy, strength, reliability and automation of robotic systems, etc. will see humans get legal power to take on the tasks we do best. Technologies that simplify the control of robots from anywhere, will allow many more physical jobs to be carried out remotely, so that people can work much more flexible and comfortable conditions. The increased productivity of a workforce where human and machine skills are combined will help grow economies, and opportunities, worldwide.

9 Ways – Robotics Could Transform Our Future World:


Here we are discussing about the future of robotics in various streams.

1. Robotics in public security

Artificial Intelligence technology for predicting and detecting crime. By using drone footage will make that happen soon. In addition to that, identification of automatic recognition of suspicious activities based on camera -based security systems. This technology will help the society in a smart way. It allows law enforcement officials to act actions quickly when suspicious behavior has been spotted.

2. Robots in education

A single teacher can’t have the capacity to fulfill the needs for every single student in the classroom. Computer-based learning is already changing things from these ways. It’s not replacing the teacher, but it helps and supports students to learn their own. Personalized learning processes will increase the robots. NAO, the humanoid robot, is already forming bonds with students from around the world. It comes with important senses of natural interaction, including moving, listening, speaking, and connecting.

3. Robots at home

Internet connected home robots are already part of our lives. Multi-function robotic cookers are able to fry, steam, bake, slow cook, and perform any other action without our intervention. We just need to set them up. We expect to see speech comprehension and increased interactions with humans in the upcoming years. These developments may end up changing the entire look and feel of our homes!

4. Robots as colleagues

Robots will become capable of taking on multiple roles in an organization, so it’s time for us to think about how we interact with our new colleagues.

5. Robots might take our jobs

Whether we like it or not, robots have changed many people in their jobs. The jobs in office administration, logistics, and transport are also at risk of being replaced. In future, many occupations are at risk of being automated, including insurance underwriters, telemarketers, and tax-return preparers etc.

6. They create jobs

Technology is changing fast and it does have economic advices. Driverless cars, for instance, are highly likely to replace cab drivers in the future. In the near future AI will most likely replace tasks, not jobs. The good news is that It will create new markets and jobs. We might need additional education and re-training for those jobs, but the opportunities will be there.

7. Autonomous cars

Driverless cars still require some human intervention these days, but we’re getting closer to the day when they won’t. Google Car, Uber Taxi etc are examples of these type driverless cars as we seen.

8. Healthcare robots

Instead of visiting a clinic or physician, who will give us check-up with simple stethoscope, we’ll have intelligent robots to do the same task with more precision. They will interact with patients, check on their conditions, and evaluate the need for further appointments.

9. Robotics for entertainment

Robots are getting more personalized, interactive and engaging. With the growth of this industry, virtual reality will enter our homes in the near future. Conversations help us communicate with our home enthusiasts, who will respond to our efforts to communicate.


Blue Eyes Technology


The aim of the blue eyes technology is to give human power or abilities to a computer. Machine can naturally interact with human beings as we interact with each other. Main objective of Blue eyes technology is to develop a computational machine having sensory and perceptual ability like those of humans. It is almost impossible to measure the advancement of technology, it is not because there is no measuring device for it, but it is because of its immense pace with which it is moving forward. It is just because of this high-end technology that computers can now interact with us. Computers can talk, listen and feel our presence with the help of various technologies like face recognition, fingerprint, video call etc. However, it can now even sense and control the emotions and feelings of a human. Blue Eyes technology is making this possible.

The Blue Eyes technology aims at creating computational machines that have sensory ability like those of human beings. The machine can understand what a user wants, where he is looking at, and even realize his physical or emotional states. The Blue Eyes Technology developed is intended to be a complex solution for monitoring and recording the operator’s conscious brain involvement as well as his or her physiological condition. This shows yet another development in the field of Brain Computer Interface.

An Introduction to Blue Eyes Technology

Imagine yourself in a world where humans interact with computers. You are sitting in front of your personal computer that can listen, talk, or even scream aloud. It has the ability to gather information about you and interact with you through special techniques like facial recognition, speech recognition, etc. It can even understand your emotions at the touch of the mouse. It verifies your identity, feels your presence, and starts interacting with you. You ask the computer to dial to your friend at his office. It realizes the urgency of the situation through the mouse, dials your friend at his office, and establishes a connection.

Blue Eyes system consists of a mobile measuring device called Data Acquisition Unit (DAU) and a central analytical system called Central System Unit (CSU) interconnected by Bluetooth. DAU collects information from the sensor and sends it over the Bluetooth and delivers the messages sent from CSU to the operator.

The basic idea behind Blue Eyes Technology is to give computer the human power i.e. It uses non-obtrusive sensing method, employing most modern video cameras and microphones to identify the user’s actions through the use of imparted sensory abilities. The blue eyes system checks the physiological parameters like eye movement, heart beat rate and blood oxygenation against abnormal and undesirable values and triggers user-defined alarms when necessary.

Blue eyes technology requires designing a personal area network linking all the operators and the supervising system. The Blue Eyes system has hardware with software loaded on it. Blue Eyes system can be applied in every working environment requiring permanent operator’s attention for it.

hexcodeplus shop

The developments of the Blue Eyes:

Blue in this term stands for Bluetooth, which enables reliable wireless communication and the‚ Eyes because the eye movement enables us to obtain a lot of interesting and important information. For a computer to sense the eye movement, wiring between the operator and the system is required.

Blue Eyes Technology and its needs:

Human error is still one of the most frequent causes of tragedy and ecological disasters because the human contribution to the overall performance of the system is left unsupervised. Human operator becomes a passive observer of the supervised system, resulting in weariness and vigilance drop, but the user needs to be active. The user may not notice important changes of indications causing financial or ecological consequences, which is a threat to human life. Thus, it is crucial that operators brain is involved in an active system supervising over the whole work time period.

Technologies used in Blue Eyes Technology:

Emotional mouse: An emotional mouse is used to evaluate user’s emotion like anger, fear, happiness etc. It also helps to get behavior information (mouse movement, finger pressure) and physiological information (heart rate ECG/EKG, skin temperature).

Artificial intelligent speech recognition: In this technology input words are scanned and matched against those words which are internally stored and then for identification users speak to the computer via microphone. Those words are filtered and fed to ADC and then store in the RAM.

Manual and gaze input cascaded: This is also known as magical point. In this two magical pointing technique liberal and conservative are used to reduce the cursor movement needed for target selection.

Simple user interest tracker: Simple user interest tracker or SUITOR helps in tracking the user’s behavior through multiple channels – gaze, web browsing, application focus. By observing the user’s behavior SUITOR finds and display relevant information.


Blue Eyes Technology – Benefits

This system provides technical means for monitoring and recording human operators physiological conditions

  • Visual attention monitoring
  • Physiological condition monitoring (pulse rate, blood oxygenation) & operator’s position detection (standing, lying)
  • Physiological data, operator’s voice and overall view of the control room recording recorded data playback

Blue Eyes system can be applied in every working environment requiring permanent operator’s attention:

  • At Power Plant Control Rooms
  • At Flight Control Centers
  • For Professional Drivers


It is the way to simplify life by providing user-friendly facilities. It also helps in reducing the gap between the computer and human. Also in the future, it is quite possible to create a computer with which we can completely interact like a true buddy. The Blue eyes technology ensures a convenient way of simplifying the life by providing more delicate and user-friendly facilities in computing devices. Now that we have proven the method, the next step is to improve the hardware. Instead of using cumbersome modules to gather information about the user, it will be better to use smaller and less intrusive units. The day is not far when this technology will push its way into your household, making you lazier. The blue eyes technology meant to be a stress reliever, driven by the advanced technology of studying the facial expressions for judgment of the intensity of stress handled. These new possibilities can cover areas such as industry, transportation, military command centers or operation theaters.


Artificial Intelligence


Artificial intelligence (AI) is an area of computer science that gives importance to the creation of intelligent machines that work and reacts like humans. AI is the simulation of human intelligence processes by machines, using computer systems. These processes include the acquisition of information and rules for using the information, reasoning and self-correction. Some of the applications of AI include expert systems, speech recognition and machine vision.

Artificial Intelligence is one among the emerging technologies which tries to simulate human reasoning in AI systems. AI is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks the typically require human intelligence. AI is an inter-disciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.


AI can be categorized in two types, weak or strong. Weak AI is also known as narrow AI. Narrow AI is an AI system that is designed and trained for a particular task, for example, Virtual personal assistants, such as Apple’s Siri. Strong AI, also known as artificial general intelligence. Strong AI is an AI system with generalized human thinking abilities. A strong AI system is able to find a solution without human interaction. The hardware, software and staffing costs for AI can be expensive.

Popular AI cloud offerings include Amazon AI services, Google AI services, Microsoft Cognitive Services, IBM Watson Assistant etc.

While an AI tool launches new business operations, the use of artificial intelligence increases moral questions. It’s because deep learning algorithms of AI system, which corrupts many of the most advanced AI tools are only as smart as the data they are given in training. Artificial Intelligence will help people to understand that AI will simply improve products and services, not replace the humans that use them.

Types of artificial intelligence

Reactive machines:

“Deep Blue” is an example. Deep Blue makes IBM chess program that beat Garry Kasparov in the year 1997. Deep Blue can identify chessboard coins and make predictions, but it has no memory and cannot record the data’s. It analyzes possible moves like its own and its opponent and chooses the most strategic move. Instead of Deep Blue, Google’s AlphaGO both are designed for narrow purposes AI systems and cannot easily be applied to another situation.

Limited memory:

These can use in past experiences to inform future decisions. For example, self-driving cars. The observations from here are not stored permanently.

Theory of mind:

It allows others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist.


AI systems have consciousness. Machines with self-awareness understand their current state and can use the information to imagine what others are feeling. This type of AI does not yet exist. But, may come in future.

Applications of AI:

Machine Learning (ML):

The steps to reach that target are learned by the machine itself by training.

Natural Language Processing (NLP):

It’s defined as the automatic manipulation of natural language, like speech and text, by software. For example, email spam detection.


Its uses as field which enables the machines to see. Machine vision captures and analyses visual information using a camera, analog-to-digital conversion, and digital signal processing. It can be compared to human eyesight. This can enable it to see through walls.


It is a field of engineering focused on the design and manufacturing of robots. Robots are often used to perform tasks that are difficult for humans to perform or perform consistently. For example, car assembly lines, in hospitals, office cleaner, serving foods, and preparing foods in hotels, patrolling farm areas and even as police officers. Machine learning has been used to achieve certain good results in building robots that interact socially. For example, “Sophia” Robot.

Autonomous Vehicles:

This area of AI needs a lot of attention. The list of vehicles includes cars, buses, trucks, trains, ships, submarines, and autopilot flying drones etc.