
- Get in Touch with Us
Last Updated: Apr 25, 2025 | Study Period:
A Smart older Care Sensor is a device that enhances the safety and well-being of older persons by using a variety of sensors and monitoring technologies.
The Smart Elderly Care Sensor is made to allow carers a means to remotely watch over the well-being and security of elderly people, making it easier to spot possible issues and act fast in an emergency.
A Smart Elderly Care Sensor may have capabilities that track activity levels and movement patterns in addition to monitoring vital signs like blood pressure and heart rate.
Advanced algorithms and machine learning may also be used by some Smart Elderly Care Sensors to identify alterations in activity or behavior that might point to a potential health issue or emergency.
In addition, certain Smart Elderly Care Sensors might have features like emergency response buttons, medication reminders, and fall detection that can help seniors maintain their independence while still getting the support and care they need to stay safe and well.
Overall, the Smart Old Care Sensor is a useful tool for carers who wish to give old people the finest care possible, and it can assist to raise both the elderly person's and their carers' quality of life.
The Global Smart Elderly Care Sensor Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Care providers can now more effectively monitor elderly patients thanks to non-invasive smart sensors.
Kepler Vision Technologies, an expert in software for recognizing human activity based on vision, has introduced a new line of non-intrusive Kepler Vision Smart Sensors.
Kepler Vision Smart Sensors were created in collaboration with the maker of video surveillance systems Hikvision to process the Night Nurse (KNN) software, which enables carers to monitor the health of senior patients in nursing home settings.
The sensor and software solution convert a watched video feed into text and integrate it with the computer vision-powered Kepler Night Nurse program to notify personnel when they are required.
For instance, the notification may suggest a video feed of an old person who has fallen to the ground. A client who requires assistance has collapsed in room 13, and the nurse call system has been activated.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |