Browse Items (487 total)
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A molecular QCA based UV lamp for water purification /
Patent Number: 201731011405, Applicant: Dr.Paramartha Dutta. -
Social environment based on sentiments using globalized user review analysis /
Patent Number: 202141007727, Applicant: Dr.G Muneeswari.
A simple yet efficient model, called Globalized User Sentiment Analysis (GURA) by using the property that sentiment classification has two opposite class labels (i.e., positive and negative), we first propose a data expansion technique by creating sentiment toggled reviews. The original and switched reviews are constructed in a one-to-one correspondence. Thereafter, we enhance the dual training (DT) algorithm and a dual forecasting (DF) algorithm separately, to make use of the original and switched samples in pairs for training a statistical classifier and make predictions. -
Vappav /
Patent Number: 202241028305, Applicant: Sashi Kumar D.
The primary objective and the motto behind this invention of the device Vappav is for the safety of food items and food parcels which needs to have a minimum contact from people and to make sure that the delivery of these parcels are safe without many people touching it, which further ensures the safety and hygienic of the food items. -
Fingerprint based authentication model to protect the sim card of the mobile /
Patent Number: 201941048500, Applicant: Dr. Gobi R.
Nowadays, Mobile becomes an essential part of our life, and it is also an inevitable medium for communication in the present era. It keeps us connected from mail access, travel booking, etc. The amount of personal information and sensitive information like username, password, and transaction details are routinely stored in the device. There is a possibility of information access when the thief steals the Mobile. It is a massive data loss for the mobile owner, especially private information. -
Automatic vehicle license plate recognizer for kannada script using tensorflow based canvolutional neural network model /
Patent Number: 201941054190, Applicant: Dr. Arish P.
Automatic Vehicle License Plate Recognizer (AVLPR) is used to read license number of a vehicle by itself without direct human control. It is used to track citizens, movements and misidentiflcation of vehicles. Traditional ALVPR is mounted on police cars or on object like road signs and bridges. The challenging tasks in recognizing the license plate numbers in Kannada script are high contrast foreground or background colour, shape of the license plate, location of the plate in the bottom and middle of the vehicle. -
Machine learning and image processing based smart prediction of human emotions and character /
Patent Number: 202141035789, Applicant: Ingeniouz.
Feelings are a major piece of human correspondence. Detecting and recognizing human emotion is a big challenge in computer vision and artificial intelligence. Though there are methods to identify expressions using machine learning and Artificial Intelligence techniques, here we use deep learning and image classification method to recognize expressions and classify the expressions according to the images. With the remarkable success of Deep Learning the different types of architecture techniques are exploited to achieve a better performance. -
IOT based smart energy theft detection and power monitoring system for smart homes /
Patent Number: 202141035598, Applicant: Dr. Poornima G.
Energy is the essential utility needed. Thus, the management of energy use is a significant priority, as the enormous growth changes are sweeping the globe, and doing so is the best answer, beginning domestically. There are numerous difficulties in the existing home energy meter reading systems, such as construction problems, too little bandwidth, poor real-time, no fast two-way communication, etc. Therefore, based on wireless internet technology, a smart meter is suggested. An Arduino microcontroller and raspberry pi CPU are used for the suggested smart energy meters for house management. -
Secure and automated driving inspector powered by Arduino Raspberry Pi using deep learning /
Patent Number: 202141038074, Applicant: Raghunandan K R.
The product will be placed in the car that will read the carTMs diagnostic information such as acceleration, clutch, gear and braking. During the driving session, data from one or more sensors will be used to monitor driving test events. Each driving session and its related weights will be described in detail at these events. These weights are based on a rating system of the driving as well as the amount of time spent during driving. By delivering a driver feedback ranking, a driving session report will be generated. -
Dragonfly brain-inspired intelligent robotic drone to trap houseflies /
Patent Number: 202141039960, Applicant: Dr.S.Balamurugan.
Trapping the houseflies in homes, restaurants and public places remain as a prerequisite to maintain hygiene. However identifying the houseflies and trapping them, especially in vast areas is a challenging task. In this invention we propose an intelligent robotic drone to sense the dynamic movement of houseflies and trap them. The drone is engineered with dragonfly-brain inspired neural network model. Dragonflies are considered to be 95% accurate in predicting and capturing the trajectory movements of their insect prey. -
Novel approach for investigation and synthesis of non linear optical crystal /
Patent Number: 202141040430, Applicant: Ingeniouz.
An amino acid based semiorganic nonlinear optical family single crystal of l-leucinium perchlorate (LLPCl) was grown by the solvent evaporation method at ambient temperature. Good optical quality single crystals up to a size of 6 mm — 5 mm — 3 mm were obtained. The single-crystal XRD analysis shows that the grown crystals have a monoclinic structure. Fourier transform infrared (FTIR) spectral analysis and UVvis spectral studies were also carried out. Micro hardness mechanical studies show that the hardness number (Hv) of a LLPCl single crystal decreases with the load as measured by the Vickers micro hardness method. -
Sensor based intelligent digital nose to detect spoilage of food using machine learning /
Patent Number: 202141042368, Applicant:Dr.S.Balamurugan.
Detecting the spoilage of food is a challenging ang important task to be carried out in food processing industry. The food contamination may cause variety of diseases to human mankind including- diarrhoea, dysentery, and sometime may even to death of the individual. Proposed is an intelligent electronic nose, which is capable of diagnosing the food decay based on the foul smell evolved from the food material. The digital nose is composed of an array of metallic-oxide sensors which are capable of detecting the odours from the foods stored roughly more than a week. The sensor arrays are capable of detecting the odours and classifying the same into categories- pungent, alcoholic, fishy, cheesy, fermented, musty and bitter. -
Sensor based intelligent smart watch for early detection of heart attacks in patients suffering from cardiovascular diseases /
Patent Number: 202141045592, Applicant: Dr.S.Balamurugan.
Heart attack is one of the leading reasons for human deaths worldwide. When the blood supply to heart is suddenly blocked by a clot in coronary artery, heart attack occurs. This shortage of blood supply to the heart can cause serious damage to heart muscles and may sometime lead to death of the individual. However, early detection of symptoms of heart attack and providing necessary first aid could drastically reduce the mortality rate. Fatal heart attacks are quite common in people who are already suffering from cardiovascular diseases. This invention discloses a smart watch with multiple sensors that are capable to detect the possibility of cardiac arrest and inform the same to caretakers, doctors and ambulance vehicles in the nearby geographical location. -
Development of big data analytics for intelligent industrial manufacturing based on wireless and IOT technology /
Patent Number: 202141041225, Applicant: Mrs. Vaishali Gajendra Shende.
The global network interconnecting physical devices such as mechanical machines, sensors, computing devices, actuators, objects, smart applications and people is termed as Internet of Things (IoT) which has become significant part of several applications. In industrial applications, abundant amount of data is generated during the manufacturing process, which is heterogeneous, massive and time sensitive bringing substantial challenges in real time data collection, its processing and thereby decision making. In this invention, we develop a novel framework for big data analytics for intelligent industrial manufacturing based on Internet of Things for managing the huge data generated in industries for controlling smart manufacturing and for supporting online process of industrial monitoring. -
Intelligent agriculture - Smart IOT system to assist farmers in effective decision making using data science /
Patent Number: 202141046585, Applicant: Dr.S.Balamurugan.
Research studies shows that the current world population of 7.3 billion is expected to increase to 9.3 billion by the ear 2050. In order to feed the increasing population, Food and Agricultural Organization (FAO), plans to increase the crop cultivation by 70%. Recent days have seen a steep rise in the adoption of IoT to various factors affecting agriculture like climate change monitoring, greenhouse automation, crop cultivation and management, cattle monitoring and management, precision farming, agricultural drones, predictive analysis for smart farming and many more. This invention discloses a Data-driven smart IoT system to help farmers for effective decision making on the choice of the crop to be cultivated in the given time. IoT sensors are capable to predict the humidity in the soil, nature of chemical resources that are apt for cultivation and weather forecasting. -
Sensor based intelligent wearable helmet for early detection of stroke in patients /
Patent Number: 202141044803, Applicant: Dr.S.Balamurugan.
Every year nearly 50 million people suffer from stroke, within which 5 million people become permanently disabled. Early detection of stroke and right time of hospitalization of patients increases the chances of complete recovery. Proposed is a sensor based intelligent wearable helmet for early detection of stroke in patients. The proposed helmet allows real-time monitoring and simultaneous analysis of health parameter of patients, the affected parts of brain and cardio vascular system. -
Machine learning based intelligent sensor framework to assist farmers in weather forecasting for appropriate crop cultivation /
Patent Number: 202141047024, Applicant: Dr.S.Balamurugan.
Weather forecasting is an important factor in agricultural sector that aid farmers for sowing and reaping appropriate crops. The day-to-day weather forecast aid farmers to decide upon the type of irrigation, time of yield, choice of the crop to be cultivated that ultimately leads to profit/loss business decision in agriculture. For profitable and successful farming and harvesting the farmer has to be aware of several factors affecting the agriculture such as temperature, humidity, UV radiation, wind direction, solar radiation, barometric pressure and rainfall. Proposed is a machine learning based intelligent sensor framework to forecast weather for appropriate crop cultivation. A set of sensors that are deployed at a focused operating distance in the farm is capable to provide weather analytics report to farmers. The analytics is performed using machine learning algorithms for data processing. -
Falling cat inspired intelligent quadrupedal robot to assist people during risky mountain trekking /
Patent Number: 202141048690, Applicant: Dr.S.Balamurugan.A falling cat always goes from feet-up position to feet-down position, in a falling reference frame without violating the conversation of angular momentum. The first thing a cat does while falling is figuring out which way is up. This is capable using the gyro in the cats ears. Research shows that the safe landing of a falling cat is due to a phenomenon called cat riding reflex. Once a cat falls, it divides its body into two separate rotational axes that are tilted from one another. During falling the front part is released with decreased moment of inertia so that it can spin faster. At the back the moment of inertia is increased, so that a large twist in the front part is equivalent to the smaller twist in the latter. -
A system for automatic pallet changer in warehouse by using machine learning /
Patent Number: 202141042804, Applicant: Dr. G. Balakrishnan.
The system for automatic pallet changer in warehouse by using machine learning comprising to automatic pallet changer in warehouse. More particularly present invention relates to the automatic pallet changer using by machine learning system and technique by use of its supporting members and also receiving actual-time robotics information and using the real-time robotics statistics to decide an amount of time to rearrange the pallets to the premier layout and determine out the most reliable controlled-get admission to dense grid layout to which to set up the pallets is further based totally on predetermined pallet locations in the warehouse for precise pallets, and in which, within the most suitable managed-get entry to dense grid format, the particular pallets are located on the predetermined pallet places also most appropriate deep lanes format, pallets having objects expected to be shipped out of the warehouse within a threshold period of time from a present date. -
Hybrid AI architecture for analysis of charging profile of electric vehicles /
Patent Number: 202131040276, Applicant: Shovon Nandi.
As a result of the development of electric vehicles with longer trip ranges (EVs), they will travel through various networks serviced by different utilities. We thus introduce an architecture that can provide roaming cars with charge service. In addition, although the energy internet allows energy and information flow, its roaming service is not smooth since its core design supports the internet. -
Brain inspired artificial intelligence implant to detect heart disease using reservoir computing /
Patent Number: 202141052156, Applicant: S.Balamurugan.
Research study shows that nearly 30% of the heart attacks occur in patient without any symptoms. Different patterns in medical data could efficiently be identified and classified using Artificial Intelligence Techniques. Research shows that an implant could detect three proteins whose levels are subject to rise after the occurrence of heart attack. Such implants could aid patients with high-risk of heart attack by helping doctors to give appropriate treatment on-time in case of occurrence of heart attack and also to prevent the occurrence of further complications of heart disease.