Question 1

How does Smart Bin AI protect privacy?

Accepted Answer

The system is designed to analyse returned food and plates, not human identity. Deployment planning includes practical privacy considerations for the site.

Question 2

Where is the system installed?

Accepted Answer

Typically at a plate-return or clearing point where plates can pass consistently beneath the camera.

Question 3

How accurate is the AI?

Accepted Answer

Performance depends on menu variety, capture conditions, and calibration. Pilots establish a reliable baseline for each cafeteria context.

Question 4

Does it need internet access?

Accepted Answer

Connectivity requirements are reviewed during setup. The architecture can be planned around the site's available network environment.

Question 5

Who can access the dashboard?

Accepted Answer

Dashboard access is intended for authorised operations, catering, and sustainability stakeholders.

Question 6

How often are reports produced?

Accepted Answer

Monthly reports are the standard placeholder workflow, with frequency adaptable to deployment needs.

Question 7

How much does it cost?

Accepted Answer

Pricing is scoped around the number of return points, hardware needs, support, and reporting requirements.

Question 8

Can the reports be customised?

Accepted Answer

Yes. Partner and larger deployments can be scoped for the reporting views most useful to the organisation.

Practical answers for procurement, IT, and cafeteria teams.

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