Hum Systems
Developer of a ceiling-mounted multisensor room monitoring platform for hospitals, care homes and assisted living. Provides in-house hardware and software development of a ceiling sensor station that performs privacy-preserving room monitoring (fall detection, acoustic help detection, two‑way audio), integrates with nurse-call and care documentation systems, and delivers mobile alerts, automated documentation, pilot deployments and training.
Industries
Nr. of Employees
small (1-50)
Products
Ceiling-mounted multisensor room sensor station
Ceiling device combining camera, radar and microphones with on-device AI for fall detection, bed/room-exit detection, acoustic help detection and optional environmental sensing.
Mobile companion application
Applications for smartphone, tablet and smartwatch to receive alerts, manage users, review incidents and communicate via two-way audio.
Ceiling-mounted multisensor room sensor station
Ceiling device combining camera, radar and microphones with on-device AI for fall detection, bed/room-exit detection, acoustic help detection and optional environmental sensing.
Mobile companion application
Applications for smartphone, tablet and smartwatch to receive alerts, manage users, review incidents and communicate via two-way audio.
Services
Short- to medium-term on-site pilots in care facilities to validate system fit, collect operational feedback and measure outcomes.
Consulting and hands-on support for integrating sensors with nurse-call systems, care documentation platforms and existing facility IT.
Hosted/subscription option including ceiling sensor installation, connectivity to a monitored alarm center and mobile notifications for households and assisted living.
Remote forensic analysis and reporting of incidents to support quality improvement, liability reviews and preventive measures.
Practical workshops, lectures and simulation-based sessions to train care staff on AI systems, data handling and operational integration.
Short- to medium-term on-site pilots in care facilities to validate system fit, collect operational feedback and measure outcomes.
Consulting and hands-on support for integrating sensors with nurse-call systems, care documentation platforms and existing facility IT.
Hosted/subscription option including ceiling sensor installation, connectivity to a monitored alarm center and mobile notifications for households and assisted living.
Remote forensic analysis and reporting of incidents to support quality improvement, liability reviews and preventive measures.
Practical workshops, lectures and simulation-based sessions to train care staff on AI systems, data handling and operational integration.
Expertise Areas
- AI-based fall detection and room monitoring
- Sensor hardware design and small-series production
- Edge and cloud software engineering for healthcare devices
- Multimodal data fusion and analytics
Key Technologies
- Multisensor fusion (camera + radar)
- Anonymized image processing
- Edge AI / on-device inference
- Acoustic event detection / keyword spotting
News & Updates
Downloadable whitepaper on technology trends in care and digital assistance systems.
Blog article summarizing evidence and case studies on how digital assistive systems can reduce staff sick leave and operational burden.
Article on methods to abstract or anonymize camera data to preserve privacy while enabling accurate fall detection.
Technical discussion comparing camera and radar approaches and rationale for combining modalities to improve accuracy and robustness.
Reported pilot results from care facilities showing reduced caregiver walking, faster response times and improved staff satisfaction after pilot deployments.
Recognition in an industry startup challenge at a national care trade fair.
Downloadable whitepaper on technology trends in care and digital assistance systems.
Blog article summarizing evidence and case studies on how digital assistive systems can reduce staff sick leave and operational burden.
Article on methods to abstract or anonymize camera data to preserve privacy while enabling accurate fall detection.
Technical discussion comparing camera and radar approaches and rationale for combining modalities to improve accuracy and robustness.
Reported pilot results from care facilities showing reduced caregiver walking, faster response times and improved staff satisfaction after pilot deployments.
Recognition in an industry startup challenge at a national care trade fair.