Systems and methods for detecting waste receptacles using convolutional neural networks

A method for detecting a waste receptacle, comprising:

• capturing an image with a camera;
• determining, by one or more processors using a convolutional neural network, whether the image includes the waste receptacle, wherein the convolutional neural network comprises a plurality of depthwise separable convolution filters and a MobileNet architecture;
• and
• determining, by the one or more processors, an action based on whether the image includes the waste receptacle.

A system for detecting a waste receptacle, comprising:

• a camera configured to capture an image;
• a convolutional neural network trained for identifying waste receptacles, the convolutional neural network comprising a plurality of depthwise separable convolution filters and a meta-architecture for object classification and bounding box regression;
• and
• one or more processors in communication with a waste-collection vehicle, the camera, and the convolutional neural network, the one or more processors configured to:
• determine, based on use of the convolutional neural network, whether the image includes the waste receptacle;
• and
• determine, based on whether the image includes the waste receptacle, an action.