Smart Waste Sorting via Computer Vision and LIDAR
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Solution Overview
Problem
Consumers often face challenges in determining the appropriate waste receptacle for specific items, leading to contamination of recyclable materials and inefficient waste management due to lack of awareness about the types of waste each receptacle accepts.
Innovation Solution
A system and method using devices with sensors, such as cameras and LIDAR, to identify waste items and provide users with real-time feedback on the appropriate receptacles for disposal, utilizing computer vision and AI to determine the type and state of the waste, and geolocation-based rules to guide proper waste sorting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If consumers place waste items in recycling bins without proper identification, then environmental benefits are improved, but contamination of recyclable materials occurs
Solution Approach 1:
The system provides real-time feedback to consumers through a mobile device application that identifies waste items using image recognition and LIDAR technology, then guides users to the appropriate receptacles. This feedback loop enables consumers to make informed decisions about waste disposal, preventing contamination while maintaining environmental benefits.
Solution Approach 2:
The patent introduces an intermediary system consisting of smart receptacles with sensors, a backend server, and a mobile application. This intermediary mediates between the consumer and the waste receptacles, providing the information needed to correctly identify and sort waste items without requiring consumers to have expert knowledge of recycling categories.
2Productivity
If multiple types of waste receptacles are provided, then waste organization is improved, but consumer confusion increases
Solution Approach 1:
The system enables self-service waste sorting by using automated identification technologies (cameras, LIDAR sensors) to detect and classify waste items. The system serves itself by automatically determining the appropriate receptacle type based on sensor data and database lookups, eliminating the need for consumers to manually research or remember sorting rules.
Solution Approach 2:
The patent replaces the mechanical/cognitive process of consumer decision-making with an automated electronic system. Instead of relying on consumer knowledge and manual sorting, the system uses image recognition, LIDAR scanning, and database queries to automatically identify waste items and guide users to the correct receptacles, substituting human cognitive effort with automated technology.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances waste organization by ensuring items are deposited in the correct receptacles, reducing contamination and promoting environmentally friendly practices through accurate identification and indication of disposal options.
Implementation Method 1
A device is described that may be used to receive information about a waste item
Data Source
AI summary
Systems and methods are provided herein for enhanced waste item organization. In some embodiments, an example method may include receiving, by a sensor of a device, image data associated with a first waste item. The example method may also include determining, based on the image data associated with the first waste item, a product characteristic of the first waste item. The example method may also include determining, based on the product characteristic of the first waste item, that the first waste item is associated with a first waste receptacle of a plurality of waste receptacles. The example method may also include presenting an indication of the first waste receptacle to the user.