Patient falls in nursing homes are a serious problem. In the United States, for example, about 1,800 elderly people living in care facilities die each year from fall-related injuries, according to the Nursing Home Abuse Center.
Patients who survive their injuries often have a reduced quality of life and suffer from some form of permanent disability.
Increase in patient falls in nursing homes
Figures show that between 50% and 75% of nursing home residents experience falls each year, twice as likely to fall compared to seniors who live in a regular residential community. Detecting falls quickly and effectively has always been a challenge, especially when they occur in resident rooms.
In the UK, the Care Quality Commission has recognized that the use of video surveillance can be one of the best ways to ensure the safety and quality of care. However, the use of video surveillance also calls into question other security concerns, such as privacy and data protection.
Dahua’s WizMind technologies
WizMind adopts human-based AI (artificial intelligence) for a multitude of applications in all industries
This is where Dahua Technology’s WizMind technologies come in. WizMind embraces human-based AI (artificial intelligence), for a multitude of applications in vertical industries, such as retail, energy, finance, transport and of course, health and social services.
Specific to the health and social services sector are deep learning algorithms, to protect face and body privacy in real time, and stereo analysis, which combines dual-lens cameras with scanning. three-dimensional scene, in order to detect physical movements, such as falls.
Stereo video analysis
The growth of AI applications has made it possible to increase the availability of 3D scene analysis solutions, making it possible to analyze objects and people in three dimensions.
Dahua Technology’s stereo analysis uses two lenses to capture separate images of the same scene. It then calculates the “optical parallax” of the spatial points in the two images, providing 3D information of the scene. Stereo vision mimics the depth of sight that comes from humans with two eyes, known as binocular vision.
Combined with a deep learning algorithm
Combined with a deep learning algorithm, stereo analysis can recognize patterns of events, such as falls and other movement-based behaviors, such as people approaching, detection of a abnormal number of people in an area and violent behavior.
In nursing and care homes, stereo scan cameras can help staff monitor residents, during emergencies, and respond to resident issues, such as trips and falls. The cameras can view all three dimensions of subjects and, with its deep learning algorithm, can immediately alert personnel to any unusual or sudden movement, as would be evident during a fall.
Cameras in common areas and bedrooms
With cameras located in both common areas and bedrooms, staff are able to respond quickly to incidents
With cameras located in both common areas and bedrooms, staff are able to respond quickly to incidents, which could otherwise go unrecognized for hours.
An example of such a scenario is a retirement home in Singapore, which has a capacity of around 400 beds and is divided into 14 separate living environments, each designed to be a home-like living space. .
Dahua cameras with intelligent fall detection technology
Dahua cameras, such as the IPC-HDW8341X-BV-3D with intelligent fall detection technology were installed, including the supply of 167 stereo analysis cameras inside each room. These trigger an alarm in the event of an incident, such as a fall, allowing immediate staff intervention. Not only does this improve the well-being and safety of residents, but it can also reduce the labor costs of the nursing home.
In addition, stereo analysis can also be applied in other application scenarios. An underground parking lot for unmanned bicycles in Amsterdam, for example, has installed behavior analysis cameras from Dahua Technology, to detect abnormal events and prevent accidents, such as trips and falls of people, or suspicious individuals. wandering in the area.
Privacy Technology 2.0
While monitoring their situation inside the nursing home, Dahua also adopts Privacy Protection 2.0 technology which can hide human face and body, in order to protect residents’ privacy. This involves the restriction of what can be seen in the video images and applies to both live images and recorded images. Digital masking takes place at the front device (eg network camera).
Dahua Privacy 2.0 provides real-time body and face occlusion and allows users to access recorded videos, without having to overlay faces with mosaic masks. It also offers additional occlusion options, such as irregular polygons, mosaics and colored blocks, and allows code export based on specified targets, ensuring subject confidentiality.
Confidentiality and security in the collection of evidence
Stereo video analysis and privacy protection take on real meaning in nursing homes and healthcare facilities
The benefits offered include non-pixelated human targets, allowing the privacy and security of evidence collection. The technology also allows the analysis of the face and human attributes, without infringing on people’s privacy, making it ideal for nursing homes.
Stereo video analytics and privacy protection take on real meaning in nursing homes and healthcare facilities. It allows close monitoring of residents or patients to help ensure their well-being and safety, while protecting the privacy of often vulnerable people.
As part of the Dahua TechMonth, this blog shows how Dahua’s stereo analysis technology, combined with privacy protection, can provide a valuable tool to help staff respond quickly and effectively to incidents, including falls. , without infringing the data protection rights of individuals.
In the next blog, Dahua Technology will discuss the WizMind application of human metadata, allowing users to maximize situational awareness and event analysis.