Name: Batch 11- AWS optima[1]
Uploaded: 2024-12-09
Duration: 5 min 3 s
Description: GenAI-2024-2025-B2. wors nooasuf SNOU. AUTONOMOUS WEIGHT SORTING ROBOT 2024 - 2025 "Transforming Weight Sorting with AI-Powered Automation".

GenAI-2024-2025-B2. wors nooasuf SNOU. AUTONOMOUS WEIGHT SORTING ROBOT 2024 - 2025 "Transforming Weight Sorting with AI-Powered Automation". 

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AUTONOMOUS WEIGHT SORTING ROBOT  2024 - 2025 "Transforming Weight Sorting with AI-Powered Automation"

DHAUSHKAR S J. RAZAAL MOHAMMED. SARANYA P A IV Mechatronics Engineering SNS College of Technology Role(s) Played. 

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SARANYA P A
 IV Mechatronics Engineering SNS College of Technology Role(s) Played

Team Information AUTONOMOUS WEIGHT SORTING ROBOT GenAI-2024-2025-B2-00X

IV Mechatronics Engineering SNS College of Technology Role(s) Played

Requirement / Problem statement Manual sorting of objects by weight is a time-consuming, labor-intensive, and error-prone task common in industries like warehousing, manufacturing, and recycling. This process often leads to inefficiencies, higher labor costs, and inconsistent sorting accuracy. The Autonomous Weight Sorting Robot aims to address these challenges by providing an automated solution that can accurately and efficiently sort objects based on weight without human intervention. This bot will reduce reliance on manual labor, improve sorting speed, and increase accuracy, helping industries streamline operations and reduce costs Scope The Autonomous Weight Sorting Bot is designed to automate weight-based sorting in industries like warehousing, recycling, and manufacturing. It enhances efficiency, accuracy, and scalability by integrating real-time weight measurement, AI-driven decision making. Key factors & features Target Audience Domain GenAI Description The Autonomous Weight Sorting Bot automates the sorting of objects by weight using advanced sensors, AI, and adaptive mechanisms. Ideal for industries like warehousing and recycling, it enhances efficiency, accuracy, and productivity while reducing labor costs.. 

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Requirement / Problem statement Manual sorting of objects by weight is a time-consuming, labor-intensive, and error-prone task common in industries like warehousing, manufacturing, and recycling. This process often leads to inefficiencies, higher labor costs, and inconsistent sorting accuracy. The Autonomous Weight Sorting Robot aims to address these challenges by providing an automated solution that can accurately and efficiently sort objects based on weight without human intervention. This bot will reduce reliance on manual labor, improve sorting speed, and increase accuracy, helping industries streamline operations and reduce costs Scope The Autonomous Weight Sorting Bot is designed to automate weight-based sorting in industries like warehousing, recycling, and manufacturing. It enhances efficiency, accuracy, and scalability by integrating real-time weight measurement, AI-driven decision making. Key factors & features
 Target Audience Domain

 GenAI 
 Description The Autonomous Weight Sorting Bot automates the sorting of objects by weight using advanced sensors, AI, and adaptive mechanisms. Ideal for industries like warehousing and recycling, it enhances efficiency, accuracy, and productivity while reducing labor costs.

Logistics and Warehouse Operators Supply Chain Managers E-commerce and Retail Fulfillment Centers Industrial Automation Companies

AI-Driven Optimization: Real-time tracking, predictive maintenance, and dynamic task scheduling. Weight-Based Sorting: Enhanced efficiency in sorting and routing based on load. Scalability & Adaptability: Modular design suitable for various warehouse and logistics environments. Sustainability Focus: Energy-efficient operations to reduce environmental impacts

Warehouse Automation & Industrial Robotics AI and IoT-Enabled Systems

Kaggle – Dataset collection. ALTAIR AI STUDIO - Stimulation

Project Features / Journeys. Project Features GenAI-2024-2025-B2-00X. 

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1.Weight Measurement and Classification Epic: Automate object sorting based on weight. User Story: As a user, I want the bot to measure and classify objects accurately based on their weight for efficient sorting. Journey: Objects are placed onto the bot, which uses weight sensors to classify and categorize them into predefined bins.
 2.AI-Powered Sorting Algorithm Epic: Implement AI for dynamic decision-making in sorting. User Story: As a user, I want the bot to adapt and improve sorting decisions over time using AI. Journey: The bot continuously analyzes sorting data to improve accuracy and optimize weight-based classifications.
 3.Autonomous Navigation Epic: Enable the bot to navigate autonomously within a workspace. User Story: As a user, I want the bot to move and avoid obstacles while sorting objects. Journey: The bot uses sensors to autonomously navigate, avoiding obstacles and moving to different sorting areas.
 4.Real-Time Data Monitoring and Reporting Epic: Provide real-time insights into sorting performance. User Story: As a user, I want to monitor sorting progress and performance via a dashboard. Journey: The bot sends real-time data to a control interface, displaying sorting efficiency, object counts, and weight data.

Technology Stack GenAI-2024-2025-B2-00X. Presentation Layer Figma/Flutter Framework UI Elements User Interaction. 

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Presentation Layer Figma/Flutter Framework UI Elements User Interaction

Source Code Project code repository is available at Link

Application Layer Backend Frameworks Task Scheduling Real-time Processing AI/ML Integration

Data Layer Relational Database NoSQL Database Cloud Storage

Robotics Lab: For assembling and testing hardware. Testing Environment: Simulated industrial setup (warehouses, conveyor systems).

Cloud Services: AWS, Google Cloud, or Microsoft Azure. Databases: Relational: PostgreSQL, MySQL.

1.Hardware: Weight Sensors: load cells. Microcontrollers: ESP 32 Motors and Actuators: Servo motors, DC motors. 2.Software Development Tools: IDEs: Visual Studio Code, PyCharm. Version Control: Git, GitHub/GitLab. Robotics Framework: ROS (Robot Operating System).

System Design: Define architecture for layers (presentation, application, data, source). Development: Iterative development of bot hardware, AI algorithms, and user interface. Testing: Validate sorting accuracy, navigation, and maintenance features in controlled environments.

Project code repository is available at Link

Wireframe | UI GenAI-2024-2025-B2-00X. Wireframe | UI. 

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Application Screenshots GenAI-2024-2025-B2-00X. Application Screenshots. 

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Application Screenshots GenAI-2024-2025-B2-00X

b)SIMULATION USING GEN AI (ALTAIR AI STUDIO)

k
GibOb - X
kaggle
Create
Home
Competitions
Datasets
Model S
C ode
Learn
WMk
Load Cell Dataset
Data Card Code Discussion
Suggestions
Welcome Gemma to Kaggle!
CPEN
See what others are saying about this dataset

Project / Product Roadmap GenAI-2024-2025-B2-00X. 

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Project / Product Roadmap GenAI-2024-2025-B2-00X

Short Term Mid Term Long Term
 Focus: Core functionalities and initial deployment.
 Develop weight measurement and sorting mechanism. Integrate basic AI for static sorting rules. Implement a user-friendly dashboard for real-time monitoring. Enable manual maintenance alerts. Test and validate the bot in controlled environments.

 Focus: Advanced automation and adaptability.
 Add autonomous navigation with obstacle avoidance. Implement dynamic AI for adaptive sorting based on data. Develop predictive maintenance features using machine learning. Enhance the dashboard with analytics and performance reports. Conduct real-world pilot testing in industries like warehousing or recycling.


 Focus: Scalability, intelligence, and industry-wide adoption.
 Scale the bot to handle multiple sorting criteria (e.g., material type, size). Integrate advanced GenAI for continuous learning and optimization. Deploy cloud-based services for remote monitoring and control. Develop APIs for integration with existing industrial systems (e.g., ERP, WMS). Expand to additional industries (e.g., e-commerce, logistics).

Project / Product Roadmap | Milestones | Features

Artefacts GenAI-2024-2025-B2-00X. Project Portal Project Portal / website is available at Link. 

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Project Portal Project Portal / website is available at Link

Technical Document / Specification Project technical document / specification are available at Link

Presentation Project presentation (this document) is available at link

Requirement Document / Specification Project requirement document / specification is available at Link

Wireframe | UI Project wireframe / UI designs are available at link

Application Application is available at link

DT Playbook Project DT Playbook is available at Link

Overview Video Project overview video is available at Link

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