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AI VISION.
Onboard cameras continuously capture the container interior while the robot moves through the cleaning cycle.
04Onboard CamerasComputer Vision
The world's first solution for robotic cleaning of container interiors.
EXPLORE BOX CLEANER↗Autonomous interior container cleaning, engineered specifically for real-world terminal operations.
The Box Cleaner doesn't just clean. Its vision system turns every pass through the container into structured visual data.
Onboard cameras continuously capture the container interior while the robot moves through the cleaning cycle.
Computer vision analyses the visual stream for anomalies including rust, dents, contamination and visible damage.
Detected anomalies can be classified and connected to their location inside the container, creating a structured inspection layer instead of an isolated image.
Visual records create a traceable layer around the cleaning process, enabling inspection results to be reviewed, stored and integrated into terminal operations.
MCS is training AI on real container interiors. Purpose-built robotics, live terminal operations and proprietary visual data compound into a learning curve a new entrant has to rebuild from zero.
Automate one of the most repetitive processes in container operations while increasing throughput and reducing dependency on manual labor.
Targeted automated cleaning delivers consistent interior washing while dramatically reducing unnecessary water consumption.
The Box Cleaner enters, cleans and exits the container while personnel remain outside the cleaning environment.
Selected coverage from the development and real-world testing of Box Cleaner.
