20240017916. Recyclable Detection and Identification System for Recycling Collection Vehicles simplified abstract (Orange Recycling, Inc.)

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Recyclable Detection and Identification System for Recycling Collection Vehicles

Organization Name

Orange Recycling, Inc.

Inventor(s)

David Husen of Austin TX (US)

Daniel Wintz of San Francisco CA (US)

Miles Price of Canyon CA (US)

Alex Woolf of Orinda CA (US)

Jesse Tootell of San Francisco, CA (US)

Recyclable Detection and Identification System for Recycling Collection Vehicles - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240017916 titled 'Recyclable Detection and Identification System for Recycling Collection Vehicles

Simplified Explanation

The patent application describes a recyclable identification system that includes a collection vehicle with an imaging system. The imaging system captures images of objects as they are dumped into the container on the collection vehicle. The system also includes a transceiver and a controller that receives the images from the imaging system and determines their location. The controller combines the images with the location information and selects images of recyclables. The selected images are then transmitted to a cloud computing system.

  • The system includes a collection vehicle with an imaging system to capture images of objects being dumped into the container.
  • A transceiver and a controller are used to receive and process the images.
  • The controller determines the location associated with the images and combines them with the video or plurality of images.
  • The system selects images of recyclables from the frames of the captured images.
  • The selected images are transmitted to a cloud computing system for further analysis.

Potential applications of this technology:

  • Waste management companies can use this system to identify and track recyclable objects in real-time.
  • Recycling facilities can use the images to sort and separate recyclables more efficiently.
  • Municipalities can monitor and analyze recycling patterns to improve recycling programs and policies.

Problems solved by this technology:

  • Manual sorting of recyclables can be time-consuming and prone to errors. This system automates the identification process, improving efficiency and accuracy.
  • The system helps in identifying and separating recyclables from non-recyclable waste, reducing contamination in recycling streams.
  • It provides real-time data on recycling patterns, allowing for better waste management strategies.

Benefits of this technology:

  • Increased recycling rates and improved waste management practices.
  • Cost savings through automation and reduced manual labor.
  • Enhanced accuracy in identifying and sorting recyclables.
  • Real-time monitoring and analysis of recycling patterns for better decision-making.


Original Abstract Submitted

recyclable identification systems and methods are disclosed. a recyclable identification system, for example, may include a collection vehicle having a container and an imaging system disposed on the collection vehicle and positioned on the collection vehicle to image objects as the objects pass into the container. the recyclable identification system may also include a transceiver and a controller communicatively coupled with the imaging system and the transceiver. the controller may receive a plurality of images from the imaging system, the plurality of images includes images of objects that have been dumped into the container; determine a location associated with the plurality of images; combine the video or the plurality of images with the location; select an image or images of interest from frames of the plurality of images that include images of recyclables; and transmit the image of interest to a cloud computing system via the transceiver.