Stay Safe and Connected
SafeSpot is a camera-based app created for nursing homes that uses computer vision and cloud-based machine learning algorithms to detect signs of injury or danger. If the algorithms detect a problem, the app will automatically trigger an alert and send notifications to designated emergency contacts.
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Problem Statement
As the number of elderly population is constantly growing, there is an increasing demand for home care. In fact, the market for safety and security solutions in the healthcare sector is estimated to reach $40.1 billion by 2025.
The elderly, disabled, and vulnerable people face a constant risk of falls and other accidents, especially in environments like hospitals, nursing homes, and home care environments, where they require constant supervision. However, traditional monitoring methods, such as human caregivers or surveillance cameras, are often not enough to provide prompt and effective response in emergency situations. This results in potentially serious consequences, including injury, prolonged recovery, and increased healthcare costs.
Solution
The proposed app aims to address this problem by providing real-time monitoring and alert system, using a camera and cloud-based machine learning algorithms to detect any signs of injury or danger, and immediately notify designated emergency contacts, such as healthcare professionals, with information about the user's condition and collected personal data.
We believe that the app has the potential to revolutionize the way vulnerable individuals are monitored and protected, by providing a safer and more secure environment in designated institutions.
Demo
Impact
Improved Safety
The real-time monitoring and alert system provided by the app helps to reduce the risk of falls and other accidents, keeping vulnerable individuals safer and reducing the likelihood of serious injury.
Faster Responce Time
The app triggers an alert and sends notifications to designated emergency contacts in case of any danger or injury, which allows for a faster response time and a more effective response.
Increased Efficiency
Using cloud-based machine learning algorithms and computer vision techniques allows the app to analyze the user's movements and detect any signs of danger without constant human supervision.
Future Plans
First of all, the usage of the app could be extended onto other settings, such as elderly care facilities, schools, kindergartens, or emergency rooms to provide a safer and more secure environment for vulnerable individuals.
Apart from the web, the platform could also be implemented as a mobile app. In this case scenario, the alert would popup privately on the user’s phone and notify only people who are given the access to it.
The app could also be integrated with wearable devices, such as fitness trackers, which could provide additional data and context to help determine if the user is in danger or has been injured.