Patent
CardioRespi Monitor
Smart Device For Measuring Heart Rate and Respiratory Rate
Description
Design# 381429-001​
The smart device, known as the "CardioRespi Monitor," is designed for real-time monitoring and prediction of cardiovascular and respiratory conditions. Developed by Ketan Gupta and Nasmin Jiwani, this innovative device utilizes a combination of artificial intelligence, machine learning, and IoT technology.
Key features of the CardioRespi Monitor include the measurement of heart rate and breath rate through advanced sensors. The device analyzes these vital signs using sophisticated machine learning algorithms, including natural language processing (NLP) functionality. This analysis allows for the early detection of potential health issues related to the cardiovascular and respiratory systems.
The primary objective of the CardioRespi Monitor is to provide healthcare professionals with timely and accurate information, enabling them to assess the severity of a patient's condition in advance. By predicting the likelihood of cardiovascular events or respiratory failure, the device aims to maximize the chances of survival and facilitate personalized medical interventions.
The importance of the CardioRespi Monitor lies in its potential to revolutionize healthcare by offering a proactive and preventive approach to monitoring critical health parameters. The design has received a patent, emphasizing its uniqueness and innovative contributions to the field of medical technology.
Patent
Facemask Vending Machine
​
Description
Design# 405861-001​
The Face Mask Vending Machine, developed by Ketan et al., represents a significant advancement in vending machine technology, addressing the critical need for safety and hygiene in public health.
The primary objective of the invention is to provide a fully automated, contactless system for purchasing face masks, minimizing human interaction and reducing the risk of disease transmission in environments prone to airborne illnesses.
Key features of the vending machine include touchless payment systems that support cashless and digital transactions, facial recognition technology to facilitate secure, contactless interactions, and a robust inventory management system that tracks available stock and integrates with external databases for real-time updates. The vending machine also allows customers to select masks based on type, size, and price, ensuring convenience and customization. Security is reinforced through biometric access controls and tamper-proof locks, while advanced analytics and M2M connectivity enable vendors to remotely monitor purchasing patterns, restocking activities, and optimize machine performance.
The importance of this patent lies in its ability to provide a scalable, efficient, and secure solution for distributing face masks, contributing significantly to public health and safety, especially during pandemics or in high-risk areas.
​
Patent
IncidentoAlert
Accident Detection and Alerting Device​
Description
Design# 424910-001​
"IncidentoAlert: Accident Detection and Alerting Device" developed by Ketan et al., represents a revolutionary advancement in accident detection and alert systems, blending cutting-edge technologies such as AI, IoT, Big Data, cloud computing, and financial analytics.
The primary objective of IncidentoAlert is to detect accidents swiftly and coordinate a rapid response to minimize the impact on individuals and emergency services. Key features of this system include real-time data analysis from sensor networks across urban environments, enabling instantaneous alerts to be dispatched to emergency response units. This significantly reduces response times, potentially saving lives. Additionally, the system facilitates seamless communication between accident victims, emergency services, and healthcare providers by transmitting vital patient data in real-time, improving medical care quality. IncidentoAlert’s integration with financial analytics ensures efficient allocation of emergency funds, optimizing healthcare services and resource management. The device also interfaces with insurance companies, streamlining claims processing and risk assessment using Big Data analytics.
IncidentoAlert aims to set a new standard in accident detection and response, enhancing safety, reducing response times, and improving outcomes for all stakeholders involved.