Edge computing for health and life science

Fall detection & “non-movement” detection

 

The problem we solve:

  • Monitor and alert when sudden and/or unexpected/irregular movement happening, e.g. a resident has fallen.
  • Monitor and alert when a resident is not moving (e.g. not able to get out from the bed or not leaving the restroom) for a long time, outside of a justified period (e.g. night sleeping).

​Proposed solution:

  • System analyzes resident falling or not moving, alerting the healthcare staff so that they can respond promptly.

What are the ​measurable ​outcomes

  • Facilitates the work of caregivers
  • Improve Safety & care management for resident
  • Provide assurance to caregivers as to the quality of their care

Detect nocturnal movements and wandering

 

The problem we solve:

  • revent Patients/elderly care residents from wandering off unaccompanied.
  • Detect nocturnal movements and wandering

​Proposed solution:

  • Sends an alarm signal when the resident is absent from bed for an abnormally long interval, allowing personnel to check to ensure that the resident is well and not in any risk.
  • By integrating with access control, the system helps monitor the exits of a facility. When a resident’s face is detected near an exit, an alert can be sent to the facility personnel and/or the doors can be set to stay closed.

What are the ​measurable ​outcomes

  • Facilitate the work of caregivers,
  • Improve dedicated services and the quality of time spent with each resident.

Protect official or personal territory and prevent interpersonal incidents

 

The problem we solve:

The patient/resident is constantly monitored, no need for random room checks.

​Proposed solution:

  • Receive an alert when unauthorised personnel (resident, visitor) access a restricted area or when potential tailgating is happening.
  • Preventing a resident from entering another person’s room by mistake (can be set to alerting-only).
  • Prevents interpersonal incidents by sending an alert when people, known to be in hostile relation, approaching to get into close proximity.

What are the ​measurable ​outcomes

  • acilitates the work of caregivers
  • Improve Safety & care management for resident

Improve turnover & decision-making in the operating room

 

The problem we solve:

  • Operating room is a very complex area
  • Managing different services, supplies, equipment, cleaning for an effective surgery
  • Turnover is very high
  • Make sure staff is on time and ready​​

​Proposed solution:

  • AI algorithms in Edge Computer Vision solution analyze video in real time on BullSequana Edge server
  • Information is send to devices to take quick decisionin real time

What are the ​measurable ​outcomes

  • Intereprete video in real time & get insights
  • Know when patient arrives in the room and notifydoctor
  • Analyzesurgery in real time

Hospital Safety & Security

 

The problem we solve:

Improve situational awareness to ensure safety and security

​Proposed solution:

  • Real-time alerts & dashboard used by teleoperation centers.
  • Detect Real time abnormal situation or behavior (theft, vandalism Aggression, Violation, suspicious bag, People on the ground, Fall detection, obstructed cameras, trolleys nearby emergency exit, Smoke… )
  • Realtime tracking / search for lost people (Alzheimer, kids..)

What are the ​measurable ​outcomes

  • Increase overall security and safety
  • Improve worker productivity
  • Avoid costs related to vandalism & thefts
  • Prevent dishonest claims
  • Resolve employee disputes

Animal behavioral analysis

 

The problem we solve:

  • Wellness of animals in pharmaceutical industry
  • Comply with regulation rules about the protection of animals used for scientific purposes ​​

​Proposed solution:

AI based animal behavioral analysis of cobaya animals filmed in their cage, to ensure standard compliance of well-being .

What are the ​measurable ​outcomes

  • Ensure 100% confidence in the wellness of animals and adapt to regulatory evolution.
  • Accelerate discovery of new anomalies (r & d)

Queue management

  • Queue density Heat Map
  • Queue Management
  • Queue capacity estimation
  • Egress rate
  • Average queuing period
  • Average time sent at counter
  • Waiting Time
  • Dwell Time
  • People Counting
  • Distance between People

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