Clutter Classifier
Make faster, more consistent clutter classification decisions
- Healthcare
- Social care
- Security
- Information governance
Using an AI model with all of Sadie's robust safeguards in place, we're providing a more consistent, secure and automated way of classifying clutter images.
How does the Clutter Classifier help?
Working with our customers, we have identified that medically fit people are not being discharged from hospital because their place of residence is classified as being cluttered.
Referrers may have sent a request to a de-clutter service but often these organisations have a significant demand on their services with a delay in provision keeping the person in hospital.
Removes subjectivity for referrers
With Clutter Classifier, the referrer has an automated service that provides them with a suggested clutter rating - removing any subjectivity from their assessment.
Supports family and carers
The service can also be used by a family member or carer who has stepped in to carry out the patient's de-cluttering to take photos of the residence and have the images automatically scored.
The classification evidence can be auto updated into the person's clinical record, providing the care teams with evidence they need to support discharge.
Remove subjectivity and automate clutter classification
Acknowledgements
The UK Hoarding Partnership, Professor Nick Neave and students from Northumbria University have provided invaluable assistance in developing our Clutter Classifier.
Their expertise in image clutter scaling and their ongoing support have been crucial to the success of this service.
