STUDENT CHOICE-BASED, AI-VERIFIED, AND GAMIFIED SMART WASTE MANAGEMENT SYSTEM
The system addresses student responsibility and accuracy in waste separation by using AI-verified camera recognition and hardware sensors to ensure accurate waste sorting and fair scoring, enhancing educational value and preventing cheating.
Patent Information
- Application Number
- TR202616381U
- Authority / Receiving Office
- TR · TR
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-09-23
- Publication Date
- 2026-10-21
- Estimated Expiration
- 2036-09-23
AI Technical Summary
Existing waste management systems in educational institutions lack student responsibility and accuracy in waste separation, leading to manipulation and unfair scoring, undermining educational value and credibility of gamification competitions.
A system where students make waste separation decisions verified by AI through a camera-based deep learning object recognition, using RFID or biometric identification, and hardware sensors to ensure accurate waste placement and prevent cheating.
Enhances educational value by ensuring accurate waste sorting, prevents manipulation, and maintains fair scoring in gamification competitions.
Abstract
Description
STUDENT CHOICE-BASED, AI-VERIFIED AND GAMIFIED SMART WASTE MANAGEMENT SYSTEM Technical Area The invention is designed for use in educational institutions for the separation of waste. the process is based on user decision and the accuracy of this decision is verified with artificial intelligence The invention relates specifically to intelligent recycling systems that monitor waste. The camera itself chooses the type, and artificial intelligence then verifies the accuracy of this choice using camera data. a hardware and educational anti-cheating system that checks and scores students across the class and school. It is related to smart waste management systems. State of the Art To instill environmental and zero-waste awareness in educational institutions, students' waste management... They are expected to separate and put them in the correct bins. However, traditional recycling... In their boxes, there is an active element that allows students to learn which waste goes into which box. There is no feedback or monitoring mechanism. Some AI-powered smart bins in the current state of the technology are designed for sorting. It leaves the decision entirely to the machine. The user places the waste in the bin, and the system does the same. It recognizes and distinguishes. While this automates the process, it also educates the student and raises environmental awareness. It does not serve the purpose of helping the student win by reasoning. The student chooses the object without thinking. actively placing items in boxes and determining which category each item belongs to. He / She is unable to learn. Furthermore, the biggest technical flaw in the current student-selected prototypes is manipulation. When a student presses the plastic button on the system and deposits paper or organic waste inside, the system... We are unable to control this, resulting in both mixed waste and unfair scoring. This situation completely undermines the credibility of in-school gamification competitions. It eliminates it. Technical Problems That the Invention Aims to Solve The aim of the invention is to eliminate the disadvantages of the known state of the art by providing differentiation. placing the responsibility directly on the student, but the accuracy of this decision is determined by artificial intelligence and The goal is to present a system that monitors through a sensor layer. 1. The fundamental technical problems that the invention aims to solve and the advantages it provides are as follows: Educational Development and Reasoning Ability: The decision is left directly to the student. The student They have to press the appropriate button considering the type of waste they are holding. This situation is permanent. It provides environmental education. 5. AI-Powered Decision Validation: After the student makes their selection, the AI camera... It analyzes the waste based on its image. If the AI's analysis matches the student's choice... The lids are opened and points are earned. If there is no match, the system rejects the waste and an educational message appears on the screen. It gives a warning. Manipulation and Cheating Prevention: Prevents erroneous scoring based solely on button presses or Box contamination; a trio consisting of an integrated camera, access sensors, and weight cells. This is completely prevented by hardware verification architecture. Description of the Invention The invention allows the user to make the separation decision, while the monitoring is carried out by artificial intelligence. It has a protected main body architecture that provides a safe environment. On the main body, there is a waste disposal area. a user identification module that digitally verifies the student's identity information is included This module uses radio frequency identification (RFID) card readers or biometric data. or QR code-based scanner hardware. Depending on the type of waste the user has in their hand. It allows the user to enter their own decision into the system, on materials such as paper, plastic, metal, and glass. A waste type selection panel with labels is positioned. This panel is located on a physical and mechanical level. These can be buttons or integrated with the information and user interface screen. It can also be a touchscreen. For the system to work, the user must approach the unit in standby mode and first provide their identification. It introduces the user to the recognition module. Electronic control board containing a graphics processing unit. The verification and system control unit, manufactured with this structure, identifies the user. It displays a greeting message via the interface screen. Then the user hands over their waste. it approaches the waste disposal slot on the body and selects the waste type from the waste type selection panel. When the decision is made, the motorized main inlet cover opens mechanically. Waste is not yet in the inner chambers. It is kept securely in the control chamber under the cover, without falling out. In this compartment... The camera positioned in the control room captures high-resolution visual data of the waste. It captures the data and transmits it to the verification and system control unit. 2. The verification and system control unit incorporates deep learning-based object recognition. It analyzes the object through its algorithm. If the student makes a selection from the selection panel... The statement and the AI analysis result from the audit room camera are not exactly the same. If they match, the electromechanical steering flap is positioned towards the corresponding chamber and the waste It is dropped downwards by the acceleration of gravity. Waste is placed in the paper waste bin, plastic waste bin according to its type. It falls into the bin or the metal and glass waste bin. To ensure complete safety, the relevant container inlet paths should be protected when waste falls. It passes through the positioned infrared barrier sensor and the weight at the bottom of the hopper. This creates an increase in mass in the measurement sensor. The verification and system control unit detects this physical mass. After receiving confirmation, it was sent to the external school server via the wireless data communication module. It sends a confirmation signal and adds the correct decision score to the student's record, updated school It displays the ranking on the screen. If the waste type selected by the student does not match the waste type read by the camera, the system switches to electromechanical mode. A mechanical waste return valve closes the diversion flap and discharges the waste outside the main body. It directs you to the dispensing channel. The information screen provides educational information about incorrect selection. A correction message is published, resulting in a reduction in the student's score or the application of penalty points. (Procedure) Finally, the inner reservoir fill level control sensors on the upper inner walls of the reservoirs measure the capacity. It measures the level. At critical fullness, the system blocks the lid mechanism and signals the administrative unit. It sends the data. Then the entry hatch is closed and locked, and the system is ready for the next user. It returns to its ready position. How the invention can be applied to industry. The invention involves the use of industrial sheet metal, wood, or plastic injection molding techniques within the classroom. It is fully suitable for mass production in these dimensions. The system uses buttons, a camera module, Weight sensors and microcontrollers are supplied as readily available technical components from the market. They can be assembled and installed. They can be used in schools' zero-waste projects and in the production of educational materials. It can be produced industrially and widely applied in the sector. 3
Claims
1. The invention is a student choice-based and AI-validated smart waste management device. feature; At least one main body containing the components, 5. Located on the main body and digitally storing user identification data. at least one user recognition module that verifies, Located on the main body, allowing the user to enter their own decision regarding the type of waste. Selection panel providing at least one type of waste, At least one informational message showing the user the steps and success status, and the user interface screen, Located in the control area below the waste disposal bin, and the waste at least one control room camera that captured visual data, It has an electronic control board structure that includes a graphics processing unit; allowing the user The best way to compare the accuracy of waste type data from the camera with the selection made from the panel. a small verification and system control unit, Waste verified with at least one motorized main entrance gate that controls waste acceptance. At least one electromechanical directional flap that directs to the appropriate compartment according to its type, Paper waste container, plastic waste container and metal and glass waste container located inside the main body. reservoir, 20 If the selection accuracy is confirmed, the document confirming that the waste has reached the relevant container. at least one physical waste passage verification sensor and located at the bottom of the bins a small weight measuring sensor, At least one mechanical waste recovery system that discharges waste outside the main body in case of incorrect selection. dispensing channel, 25 At least one wireless data transfer system that transmits approved educational score data to external scoreboards. It includes a communication module.
2. It is a smart waste management device according to Claim 1, and its feature is the selection of the aforementioned waste type. its panel, mechanical push buttons located on the main body or from touch icons integrated onto the information and user interface screen It is the formation of.
13. It is an intelligent waste management device according to Claim 1, and its feature is the aforementioned verification and system. the control unit, with data from the waste type selection panel and the control room camera. When the incoming AI analysis data does not match, the electromechanical steering flap is discarded. to close the inlet of the containers and direct the waste to the mechanical waste return chute. It includes a control algorithm that governs it.
4. It is an intelligent waste management device according to Claim 1, and its feature is; the aforementioned physical waste transfer verification sensor, in the output lines of the electromechanical directional flap It includes a strategically positioned opposite infrared barrier sensor.
5. It is an intelligent waste management device according to Claim 1, and its feature is that the upper inner parts of the aforementioned containers located on their perimeters and verifying that the tanks have reached their maximum capacity and The system must include at least one internal reservoir fill level sensor that reports this to the control unit. 2
