RecySmart is a device developed by Candam that collects real-time data on recycling behavior by identifying materials and linking them to users.
Photo source:
candam.eu
Most recycling systems rely on basic bins that
don’t record data or show how people engage with recycling. This makes it hard
to measure performance or enforce policies aimed at waste reduction. As cities
and companies seek to improve recycling rates, the need for smarter, data-driven systems has grown.
RecySmart
addresses this by adding a layer of digital tracking to standard recycling
infrastructure. It focuses on material identification, user interaction, and
data collection, all of which support more informed decision-making around
recycling processes.
RecySmart is a sensor-equipped device designed
to be mounted on existing recycling bins. It uses acoustic analysis and AI
models to identify common packaging materials as they are deposited.
These materials include:
Each interaction is time-stamped and recorded,
providing structured data on what was recycled and where it was recycled. The system sends this
data to a central platform that aggregates it for analysis by waste managers or
city services.
To connect the recycling data to individuals,
users identify themselves through a mobile app, RFID card, or QR code. This
step allows the system to associate each recycling event with a specific user
profile. The collected data helps track participation and supports the design
of behavior-based recycling initiatives.
While the technology does not enforce
participation, it allows for clearer insight into individual and group habits
over time.
The data RecySmart collects can support various
recycling frameworks, including:
By offering verified data, the system provides
a tool for aligning recycling policy with real-world behavior, which can be
useful for municipalities and organizations managing public waste systems.
RecySmart is compatible with a range of waste
collection settings. It does not require specially designed bins, which allows
for flexible use.
Potential environments include:
Its ability to integrate with existing
infrastructure supports broader adoption without major operational changes.
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