Occupant Monitoring System Market Trends

Growth Drivers

• Growing Development in Sensing Technology - Sensor technology is getting increasingly complex and inexpensive. All sensor technologies employed in automotive applications are progressing and evolving they are becoming smaller, more powerful, and less obtrusive. Cameras, radar, and LiDAR, paired with increased computational power, are essential for enabling better in-cabin services and complete independence. For instance, the mmWave radar has the ability to identify the existence of an individual in even the most difficult environmental conditions, such as intense light and darkness and it is especially for in-cabin applications. mmWave radar sensors can distinguish between a child and an adult sitting in a seat, allowing airbag deployment to be modified proportionately.

• Growing Focus of Government on Vehicle Safety - Governments all across the world have proposed and implemented strict safety regulations for the automotive industry. Thesrules often include the need for better safety features, such as occupant monitoring systems, to protect passengers and enforce safety. Occupant monitoring systems enhance safety by detecting the various factors, such as s seatbelts use number of passengers, and if the children are unattended in the vehicles or there are any pets. Government rising efforts have improved the overall safety of automobiles and the need to comply with these regulations has increased its adoption by consumers. Moreover, these regulations also enable automakers to meet the safety standards and expectations of consumers.

• Integration of AI in Occupant Sensors - The Integration of artificial has enabled the analysis of data extracted from occupant sensors with more precision, and it also helps the occupant monitoring system to accurately detect and recognize several factors, such as the number and the position of occupants in the vehicle and monitors the activity of passengers. AI can detect several signs of occupants, such as driver distraction, drowsiness, medical emergencies, and others. This information provides timely triggers to the driver and helps in preventing accidents. Over this, voice recognition is an additional factor offered by artificial intelligence that be used for convenient interaction between vehicle’s control systems and occupants.

Challenges

• Concerns Associated with Data Security- like any other data processing system, occupant monitoring systems are also prone to several risks related to data security. Hacker is a malicious activity performed by people who can attempt to enter the system illegally and gain authorized access, which comprises the data stored in it. The data gathered by the occupant monitoring system, including sensor data, occupant numbers, and video footage can be valuable data for cybercriminals and it can exploit the sensitive information. It also raises privacy concerns among the consumers. Moreover, attackers may also attempt to change and manipulate the data recorded by the monitoring system as really, it gives false alarms, and can also lead to serious accidents.

• The implementation cost of the occupant monitoring system is high

• There are technological challenges in integrating the system, with an older vehicle