ARTIFICIAL INTELLIGENCE PROJECTS

ABSTRACT - With recent advances in both AI and IoT capabilities, it is possible than ever to implement surveillance systems that can automatically identify people who might represent a potential security threat to the public in real-time. Imagine a surveillance camera system that can detect various on-body weapons, masked faces, suspicious object. This system could transform surveillance cameras from passive sentries into active observers which would help in preventing a possible mass shooting in a school, stadium or mall. In this paper, we present a prototype implementation of such systems, Hawk-Eye, an AI-powered threat detector for smart surveillance cameras. Hawk-Eye can be deployed on centralized servers hosted in the cloud, as well as locally on the surveillance cameras at the network edge. Contact:
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ABSTRACT - India is horticulture-based nation, farmers or ranchers essentially depend by and large upon groundwater for their fundamental water system necessities. Ensuing to the essential prerequisite yielding of the water, the drag wells would have commonly left uncovered. So that, most by a wide margin of children adventitiously pushes toward the well and falls into it, which is the principal reason for these misery debacles eventually. Lately, numerous cases have been accounted for of kids getting caught in bore wells which take life of the kids and are a bad dream for guardians. There is a clear requirement for building up a security and salvage framework for kids to safeguard from bore well. The current salvage frameworks are time taking and are not in the least exact as include manual assistance where there are numerous odds of human mistake. The drag well cases have taken numerous existences of honest kids while playing here. Contact:
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 080-40969981

ABSTRACT - In this pandemic situation, health plays an important role in everyone’s life. Most of the people are not aware of preventing themselves and their surroundings from this pandemic. Face mask is essential to prevent ourselves and others. So, people are in need to wear face mask regularly. People who visit home won’t wear mask due to their unawareness which may affect people. People may not know if someone visits their home when they are not there. AI based smart device (Raspberry pi with AI model with camera) is proposed in this project which identifies whether a person is wearing face mask and gives us an alert message (via mobile app). This device is integrated with a mobile app. Mobile app identifies if someone enters home when people are not physically present in their home. Contact:
 +91-9008001602
 080-40969981

ABSTRACT - Super markets are mushrooming in every city as shopping has became a daily activity. An average person goes to shopping 1.6 times in a week and spends approximately 40 minutes there per visit. This sum up to around 60 hours every year. Around 15 of the time spent in the supermarkets is wasted due long billing queues and weighting for the turn. On public holidays and special discount days, there will be a significant upsurge in the number of customers. With the present system it sometimes becomes difficult to manage the rush. The traditional way of shopping in which people put the articles in the shopping cart and wait in the long queues at the billing counter is being followed pretty much since the opening of first supermarket. Contact:
 +91-9008001602
 080-40969981

ABSTRACT - In today´s world we live with visually impaired people struggling to do things at their full potential as they lack sight of the environment sight of the environment they live in. Affected individuals are often seen with trips and fall over light obstacles on their walkway. To Some extent, these blind people cannot relate to any objects they come across such as cars and people around. As technology evolves, there has been numerous attempts in solving this problems for the affected group of people and the proposed solutions need further improvement on how to effectively assist the affected individuals to navigate from one place to the other using real-times updates. Contact:
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 080-40969981

ABSTRACT - This paper describes the implementation of a system to recognize employees and visitors w anting to gain access to a physical office through face images and speech-to-text recognition. The system helps employees to unlock the entrance door via face recognition without the need of tag-keys or cards. To prevent spoofing attacks and increase security, a randomly generated code is sent to the employee, who then has to type it into the screen. On the other hand, visitors and delivery persons are provided with a speech-to-text service where they utter the name of the employee that they want to meet, and the system then sends a notification to the right employee automatically.The hardware of the system is constituted by two Raspberry Pi, a 7-inch LCDtouch display, a camera, and a sound cardwith a microphone and speaker. Contact:
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 080-40969981

ABSTRACT - Facial Emotion Recognition is in pattern these days inview of its wide application zone. With the advancement in the field of profound learning, Facial feeling acknowledgment has become a significant subject in the business. There is critical examination on it since 1960; still, it is a difficult errand for theanalysts in the business. Feeling acknowledgment is utilized to perceive the feelings of an individual. Different strategies have been created to recognize the feeling of an individual from still pictures and live recordings. The test in facial acknowledgment is to perceive each unique outward appearance and characterize it by its enthusiastic classes. It has a wide scope of use in the field of diversion, training, online business, wellbeing and security.Contact:
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 080-40969981

ABSTRACT - The following paper gives a Sharp view of technological innovation in underperforming agricultural branches such as sericulture, and it explains the system and techniques to be employed to increase the quality and productivity in the sericulture. In this brief communication, thepaper will present how the complicated process such as monitoring the environmental parameters such as humidity, temperature and rain also with the health of the silkworm. Simultaneously improving quality of silk by controlling environmental parameters and proper aggregation of cocoons are done. All these operations are achieved by using Arduino aided internet of things (IoT), image processing technique and smart sensors. Contact:
 +91-9008001602
 080-40969981