SmartPeep assists nurses in nursing homes and hospitals to extend their line of sight in monitoring seniors’ activity automatically using their proprietary AI technology, thus enabling nurses to respond faster to older adults who are at risk, and those who need help.
SmartPeep AI Elderly-Sitter System has undergone extensive pilots in Singapore, Malaysia and Australia. The team is close to signing off on a commercial agreement with one of the largest hospital chain in South East Asia and a large retirement-village chain in Australia.
Problem or Opportunity
Global aging population has been rising rapidly. Many elderly people are staying in nursing homes because they cannot live without supervision, However, most nursing homes in aging countries are short of nurses to take good care of the elders, especially at night. Can you imagine the scenario of 1:30, where 1 nurse takes care of 30 potentially sleepless elderly people at night? This labor shortage issue is giving rise to a new set of elderly safety problems, including undiscovered falls, missing seniors, bed sore injuries, and elderly Neglect cases. As a result, some nursing homes have lost their license, because they have failed to achieve the care quality standard. Many others are risking losing their license now. Some governments have also taken an aggressive move to try out new care settings and encouraging automation in order to alleviate these problems.
Solution (product or service)
SmartPeep makes elderly monitoring easy and helps nurses to excel in their job. SmartPeep’s AI elderly-sitter system assists nurses in nursing homes and hospitals to extend their line of sight in monitoring seniors’ activity automatically using their proprietary AI technology, thus enabling nurses to respond faster to older adults who are at risk, and those who need help.
SmartPeep transforms surveillance cameras into care-oriented optical sensors using AI machine(s), which provides (1) a proactive alert for each anomaly detected so that a nurse can attend to it; and (2) automated reporting to support nursing operation.
SmartPeep provides both in-room and common area monitoring. Their services include - fall detection (through senior’s action recognition) - fall prevention (through detection of senior’s bed-exit intention) - bedsore monitoring (through senior’s position tracking on bed) - suspicious elderly-neglect detection (through scream detection) - wandering detection (through senior-presence tracking in common area) - nurse rounding monitoring (through uniform recognition)
SmartPeep’s AI elderly-sitter system is strictly privacy-preserving, as it does not require any video recording to function. Most real-time camera video footage analyzed by the AI for anomaly detection and nursing reporting purposes will not be stored. Unless specially requested by hospitals or nursing homes, only notifications will be kept for a limited time period for post-investigation purpose.
SmartPeep brings values from 4 perspectives: i. Greater Elderly Safety. They help reducing injuries & preventing injuries from getting worse. From their implementations, they have helped achieving 30% - 80% fall reduction in hospital wards. ii. 24/7 Quality Care. They help watching over the seniors 24/7 to complement insufficient nurses at night. They have facilitated 2-5 times more assistance before their high fall risk senior patients leave the bed with their fall prevention system. iii. Helpful Reminders and Report. They remind nurses of their duty in attending residents in need of help and keep managers (and family) informed about their nurse performance. iv. Cost Savings. They help the healthcare institutions to save cost in terms of nurses’ productivity, liability and the reputation of the organization.
Our fall-detection competitors include - Guarday (Wearable with accelerometer): Small & sleek fall detection device that is convenient to bring. However, elderly people may not feel comfortable wearing 24/7, forgot to wear it back after showering / after waking up. - SoundEye (Scream detection): Easy to install but may miss-detect a silent fall if the injured person become unconscious.
Our fall-prevention competitors include - Ocuvera (AI-powered thermal cameras for bed-exit detection): Limited information that can be extracted from the thermal images causes 3-times-higher false alarms than ours. - Bed sensors (Weight sensors on the bed for bed-exit detection): widely tested in hospitals, at most 60% accurate for bed-exit detection. Most bed sensors are very sensitive to weight change. Even a turning in bed may easily give rise to a false alarm for a bed-exit event, which would constitute to alert fatigue for the caregivers.
Advantages or differentiators
● Non-intrusive monitoring ● Integrate-able with any CCTV camera system ● Able to support multiple AI applications through the same camera ● Immediate alert when an anomaly is detected ● Able to track nurse visits through recognizing nurse uniform, and produce management report on the caregivers’ performance and compliance automatically ● Privacy-preserving, as the system does not provide live view and does not require video recording to work