Ongoing ProjectIzmir Science and Technology Park Inc.Artificial Intelligence

Artificial Intelligence Supported Image Processing with
Kaizen Goals Control Management

Our innovative R&D project that processes data obtained from security cameras with artificial intelligence for personnel tracking, area violation detection, and time exceeding monitoring, providing continuous improvement in accordance with Kaizen principles.

Project Summary

Project Subject

An artificial intelligence project compatible with Kaizen goals that enables businesses to perform personnel tracking, area violation detection, and time exceeding monitoring using security cameras. The project analyzes images from security cameras in real-time and enables data-driven decision making.

Kaizen Integration

Kaizen embraces the philosophy of continuous improvement. This project contributes to this goal by using security cameras and data analysis to continuously improve business processes and employee performance. Data analysis is used to evaluate business process performance and identify improvement opportunities.

Project Goals

Personnel Tracking

Tracking personnel in business processes with AI cameras, evaluating workforce efficiency

Area Violation Detection

Detecting unauthorized entry or exit to designated areas and increasing security measures

Time Exceeding Monitoring

Tracking how much time is spent at which stages of business processes and optimizing

Kaizen Goals Compliance

Complying with Kaizen principles to improve and continuously enhance business processes

Data-Driven Decisions

Making conscious and effective decisions by analyzing data recorded by security cameras

User-Friendly Interface

User interface where personnel can easily access camera data and perform analysis

Continuous Improvement

Continuously improving business processes through data monitoring and analysis

Scalability

Structure that can be used with more security cameras and in other factories in the future

Technologies Used

AWS Services

EC2
Virtual servers
S3
Image storage
Lambda
Serverless functions
Rekognition
Face recognition and object detection
Kinesis Video
Live video streams
RDS
MySQL database
API Gateway
User interface API
SageMaker
ML model training

Development Tools

Python
Backend and ML
OpenCV
Image processing
TensorFlow
Deep learning
React
Web interface
Node.js
API services
Docker
Containerization

Implementation Phases

1

Planning and Analysis

Detailed analysis of needs and goals, security cameras, data storage and AWS infrastructure planning

2

Technical Infrastructure Setup

AWS infrastructure (EC2, S3, RDS), connecting security cameras and other devices

3

Image Processing and Analysis

Live image processing with Kinesis Video Streams, face recognition and object detection with AWS Rekognition

4

User Interface Development

User interface with AWS API Gateway, area marking and access to analysis results

5

Data Analysis and Kaizen

Analysis of collected data, comparison with Kaizen goals, data-based decisions

6

Integration and Continuous Improvement

Integration with other systems, continuous development in line with Kaizen principles

Rest Time Tracking and Legal Regulations

Legal Requirements

There are various regulations regarding the rest rights of personnel from Turkish labor legislation. Our project automatically tracks compliance with these regulations.

Labor Law Article 68
4 hours → 15 min, 7.5 hours → 30 min, 7.5+ hours → 1 hour break
Labor Law Article 46
At least 24 hours uninterrupted weekly rest within a 7-day period
Lunch Break Law
At least 1 hour lunch break requirement
Daily Rest
At least 11 hours uninterrupted rest within 24 hours

Consequences of Violation

When rest periods are violated, businesses face various losses:

  • Personnel Cost Losses
  • Production Cost Losses
  • Related Other Losses

Our Project's Contribution

Our AI-supported camera system automatically tracks employee rest periods, warns in case of non-compliance with regulations, and helps businesses comply with legal requirements.

Results and Benefits

Increasing personnel efficiency
Reducing security risks
Process optimization and cost reduction
Compliance with legal regulations (rest periods)
Data-driven decision making
Achieving Kaizen goals
Gaining competitive advantage

Project Information

Project Name
Kaizen Goals Control Management Project with AI-Supported Image Processing
Short Name
KAIZEN-AI
Project Manager
İsmail Murat Bayık
Institution
İZMİR BİLİM VE TEKNOLOJİ PARK A.Ş.
Status
Ongoing

Keywords

artificial intelligencecomputer visionKaizenlean productionAWS Rekognitionpersonnel trackingarea violationtime exceedingimage processingLean Productionrest time monitoringdata analysis

Product of the Project

AI PlatformKaizen CompatibleIn Development

KAIZEN-AI Image Processing and Analysis Platform

Platform that strengthens existing security cameras of businesses with artificial intelligence for personnel tracking, area violation detection, time exceeding monitoring and Kaizen goals control.

Target Market: All industrial enterprises