Cyient’s ICMS can perform the following tasks during flight operations:
To meet the above objectives, the ICMS application has been designed to integrate software modules for face detection, face identification, gesture recognition and object detection, identification and tracking, and radar-based vital sign detection.
How it works
A passenger's credentials are captured as soon as a booking is made for a journey by aircraft/train/UAM by providing appropriate identification documents and pictures. These credentials are stored in the customer database to be used to identify the passenger when she/ he reports for boarding. At the time of boarding, their credentials and facial captures through onboard cameras are matched to authenticate their entry into the cabin. The application maps all passenger-occupied seats against seat allocations made during the reservation process and raises cautionary flags in case wrong seating is detected. It detects objects carried by passengers and raises prohibitory alarms to dissuade the carrying of banned items into the cabin. The application identifies items that are permitted but could be used for aggression to harm fellow passengers, and categorizes them appropriately for continuous tracking during the journey. It raises cautionary flags when such objects are taken out during the flight. The application continuously monitors facial gestures of passengers to identify and detect those which can be classified as offensive to raise timely cautionary flags to pilot/operations control.
Figure 1: ICMS architecture
Understanding the product and identifying applicable standards as per the intended purpose of the product.
Identifying applicable regulatory requirements and preparation of regulatory assessment report.
Compiling the technical documentation, product registration, and launch.
This is a contactless process and maintains complete privacy of individuals. Radar sensors are used to detect the heart rate and breathing rate of passengers.
Further analysis of the health condition of the patient based on heart rate and breathing rate can be carried out using application software.
The concept of radar health monitoring is explained in Figures 2 and 3 below.
Figure 2: Heart rate monitoring using radar
Figure 3: Typical variation of heart rate and breathing pattern based on different health conditions
Face detection systems are becoming increasingly vital for implementation of security measures in all walks of life. Challenges lie in accurate detection of face(s) in a captured image as minutely varying environmental attributes such as variations in ambient light, occlusions, variations in position/posture, changes in backdrops, and aging may severely impact detection leading to completely missed faces in a captured shot.
Despite environmental variations, a reliable and accurate face recognition system should be able to detect and identify a face irrespective of existing conditions and ambience. Challenges lie not only in accurate identification but also identifying facial gestures and categorizing them appropriately. As the range of applications expands day by day, the system's complexity increases manifold and hence adds to the burden of making detection accurate.
Factors that affect accurate detection are of two broad types:
Developing a highly reliable face recognition system requires incorporating latest technological developments with special attention to every minute detail captured by monitoring systems. As real-world data is limited, expensive, and time-consuming to collect, retrieving the right data to curate, label, train, test, and validate such systems becomes even more challenging.
Another challenge is to maintain the accuracy of heart rate and breathing rate measurements of individuals in the presence of any other moving parts which may be present in a complex cabin scenario. A detailed model for training the algorithms is essential for greater accuracy and hence usefulness of the radar data.
A cloud-based solution to accelerate the regulatory compliance process. It helps to search worldwide regulations, and offers a digitized form regulation database for easy search and analysis. The standard module consists of a library of 1500+ international standards such as ISO/IEC/AAMI.
The solution offers a device classification tool, device-specific compliance, and regulatory intelligence services such as regulation assessment, gap assessment, and impact analysis.
Its regulatory watch feature monitors changes in regulations and provides a personalized news feed to users consisting of regulations news, safety communication, and warning letters.
Ajay Kumar Lohany is an aeronautical engineer with specialization in avionics systems. He holds a master’s degree in computer science and modeling and simulation. He has served in the Indian Air Force as a flight test and instrumentation engineer. With over 32 years of industry experience, he takes keen interest in building technological solutions that help solve problems in the aerospace and rail domains.
Ranadeep Saha is an Electronics & Communication Engineer with specialization in Microwave & Radar technologies and systems. He has over 20 years of industry experience in Microwave and Radar system research, design & development. He has primarily worked in design & development of radars and other microwave systems for detection, sensing and tracking, initially as a design engineer, through function lead, into R&D head for radars. He has extensive experience in the application of microwave & radar technology in defence, space, government and commercial markets.
