LDR QualiTrans - Extend UAV Flight Times

A New Era in Travel Quality

Cameras used to improve trip quality create an objective evaluation system by analyzing both the driver and passenger areas. While this technology analyzes the driver's behavior and emotional state, it can also detect passenger density, number of people and the presence of standing passengers. In this way, service quality is evaluated in detail and improved. This system, which increases both safety and comfort, creates a new standard in travel experience.

LDR QualiTrans About

This project aims to develop a system that performs objective analyzes and effectively evaluates service quality for both the driver's cabin and the passenger area.

Within the scope of driver's area analysis, the driver's smoking, mobile phone use and whether there are unauthorized people in the driver's area will be determined using image processing techniques.

The emotional state analysis module will detect the driver's emotional states such as unhappiness, anger and panic and provide important data in terms of driving safety.

Public transportation safety and comfort will be increased by evaluating parameters such as person counting, density monitoring and standing passenger detection in passenger space analyses.

The project aims to improve service quality by providing objective data to increase public transport safety and comfort, monitor driver behavior and optimize passenger density.

Features

Mood Analysis

Mood Analysis is an analysis process aimed at evaluating driving safety and service quality by detecting the driver's emotional states such as unhappiness, anger and panic.

Passenger Space Analysis

Passenger Space Analysis is an analysis process aimed at increasing public transportation safety and comfort by evaluating criteria such as person counting, density tracking and standing passenger detection.

Driving Safety Analysis

Driving Safety Assessment is an analysis module developed to ensure a safe journey by analyzing the driver's distraction and risky behaviors.

In-Vehicle Comfort Analysis

In-Vehicle Comfort Analysis aims to provide a more comfortable travel experience for passengers by monitoring temperature, noise and vibration levels in the passenger area.

Artificial Intelligence Supported Data Analysis

Artificial Intelligence Supported Data Analysis is a system that optimizes service quality and contributes to decision support mechanisms by instantly processing and evaluating the collected data.

Monitoring and Reporting

Real-Time Monitoring and Reporting is a technology that instantly displays and reports the analysis results of the driver and passenger areas and provides data to improve service quality.

Benefits

Increasing Service Quality

The project aims to increase service quality by providing an objective system that performs analyzes for the driver and passenger areas. Analyzing situations such as smoking, mobile phone use and the presence of strangers in the driver's seat increases both driving safety and service quality. Person counting, density analysis and detection of standing passengers in the passenger area increase passenger comfort and allow services to be managed more effectively.

Increasing Operational Efficiency

Analyzes for the driver and passenger areas enable service processes to be managed more efficiently. For example, line optimization can be done by determining the current number of passengers through density analysis. Additionally, by analyzing driver behavior, accident risks can be minimized by early detection of faulty behavior. Thanks to this system, higher safety and comfort standards are achieved by using fewer resources.

Sustainable and Safe Service Delivery

With emotional state analysis, the driver's moods such as unhappiness, anger and panic can be detected early and proactive measures can be taken. This both increases security and prevents possible problems, ensuring uninterrupted service. Passenger density analysis contributes to sustainable service delivery by helping to use resources more efficiently.

Safer and Instant Monitoring

Analysis systems developed within the scope of the project ensure increased safety by collecting real-time data for both the driver and passenger areas. For example, detecting situations such as the driver talking on a mobile phone is critical for the safety of passengers. Likewise, instant tracking of passenger density and standing passenger status allows faster intervention in possible emergencies.

Reducing Costs

This project provides significant savings in operational costs by reducing the need for human resources. Automatic analysis of driver behavior and passenger density minimizes the need for manual supervision. Additionally, energy and vehicle maintenance costs can be reduced with line optimization based on density analysis. Thus, higher quality service delivery is provided at lower cost in the long term.

Lighter and Integrated Systems

Thanks to the developed image processing techniques, an integrated and efficient analysis system is obtained. This system is designed to be easily integrated into the existing vehicle infrastructure, reducing costs and providing ease of application. At the same time, thanks to the innovative structure of analytical systems, faster and more accurate analyzes are performed, which increases service quality.