- Problem statement:
Past accident data contains details of accidents and by building machine learning algorithms model we can analyse data to identify cause of accident and can prevent future accident by giving test data of new work to predict causes of accidents and can avoid such causes. This machine learning algorithms can help in extracting dangerous objects such as misused tools, sharp objects nearby, damaged equipment etc.
1.2 Motivation:
An accurate vision system to classify and analyze fruits in real time is critical for harvesting robots to be cost-effective and efficient. However, practical success in this area is still limited, and to the best of our knowledge, there is no research in the area of machine vision for date fruits in an orchard environment. In this work, we propose an efficient machine vision framework for date fruit harvesting robots.
- Objective:
The framework consists of three classification models used to classify date fruit images in real time according to their type, maturity, and harvesting decision. In the classification models, deep convolutional neural networks are utilized with transfer learning and fine-tuning on pre-trained models. To build a robust vision system, we create a rich image dataset of date fruit bunches in an orchard that consists of more than 8000 images of five date types in different pre-maturity and maturity stages.
1.3.1ProposedSystem:
In this paper author is describing concept to provide safety to workers at construction site from accidents by analysing past accident data by using machine learning algorithms and text mining technique such as TF-IDF (Term Frequency-Inverse Document Frequency) and natural language text processing to remove special symbols, stop words, stemming etc.
Advantages of proposed system:
In the proposed system the main advantages is data set by using data set the harvest may easy
SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10
HARDWARE REQUIREMENTS:
Processor : Core I3
RAM Capacity : 2 GB
Hard Disk : 250 GB
Monitor : 15″ Color
Mouse : 2 or 3 Button Mouse
Key Board : Windows 08/10
