Safe Care for hospitals and care homes People always protected
+200k
Protected individuals
+50k
Detected risk events
Safe instantly alerts if someone has fallen, whether in beds or hallways, so staff can act immediately.
Identifies disoriented individuals within the facilities, especially critical for people with certain conditions.
Safe alerts if a person is not wearing the correct PPE in certain areas of the facility, protecting the health of users.
Smoke and fire alerts 
Restricted zone alerts 
Distance control between people 
Obstacle alerts in pathways The identity of all individuals is protected by automatically blurring their faces or replacing their bodies with digital silhouettes.
Safe Care easily connects to the cameras you already have installed, and the captured videos are always stored on your servers, ensuring GDPR compliance.
Wherever you have cameras, Safe Care can monitor, allowing the staff to focus more on caring for people and less on supervision, improving efficiency.
And if you don’t have cameras, we’ll help you implement them.
Common areas
Hallways
Rooms
Families can have peace of mind knowing their loved ones are safe and well cared for 24/7.
Ensure supervision at all times, even during staff shortages. Safe provides 24/7 prevention.
A dignified and respectful environment, supporting the patient’s independence and only intervening when necessary.
With Safe, the staff no longer needs to be in constant monitoring of potential incidents, allowing them to focus on attending to and caring for people.
Answer a few brief questions, and we’ll explain how Safe can help you
Safe integrates with most cameras using the GenICam protocol and IP cameras.
Safe can be deployed both locally (in-house) and in the cloud, according to the specific requirements of the client.
No need, Safe has an easy-to-use application and also has the support of Safe staff for any questions.
The detection and analysis speed is very high. Safe is currently operating in projects with a cycle time of 0.4 seconds.
The images captured by Safe in production are stored locally on the client's own hard drives or servers, and it is the client who manages this data.
Yes, the AI model adapts to these variations in the environment as long as the feature being detected remains visible.
