The manner in which we access our automobile has undergone a change, from the key to keyless entry. However, it doesn’t guarantee the safety of the vehicle or an assured entry for the person trying to gain an entry into the vehicle. Technological advancements toward improvement of automotive safety and to personalize the user experience have led to the utilization of biometric identification systems. There are various kinds of biometric modalities that are employed in automotive applications, some of which include voice and facial recognition. Generally, biometric modalities include iris and retina scanning, fingerprint and vein imaging, as well as face and voice recognition. Implementation of multi-factor authentication is often preferred over single means of automotive biometric identification systems.

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Based on the technology, the market for automotive biometric identification can be segmented into voice recognition, facial recognition, fingerprint recognition, iris recognition, multimodal identification, gesture recognition, and others. Based on vehicle type, the market for automotive biometric identification has been divided into passenger and commercial vehicles. The passenger vehicle segment has been further segmented into hatch back, sedan, MPV, and SUV, while the commercial vehicle segment has been segmented into light commercial vehicle and heavy commercial vehicle. Based on biometric wearable, the market can be segregated into watches, eyeglasses, headsets, and others. In terms of sensor, the market for automotive biometric identification can be segregated into image sensors, fingerprint\palm sensors, iris/retinal recognition sensors, voice sensors, and keystrokes sensors. In terms of component, the market has been segmented into processing units, embedded micro-computers, and micro-chipsets. Based on type of electric vehicle, the market can be segregated into battery electric vehicle, hybrid electric vehicle, and plug-in hybrid electric vehicle. In terms of application, the market for automotive biometric identification has been segregated into engine start-stop system, biometric vehicle access system, memory steering, infotainment system, memory seats, and driver fatigue & drowsiness monitoring system. The driver fatigue & drowsiness monitoring system segment has been further sub-segmented into eye tracking/blink monitoring, facial expressions/head movements, and heart rate monitoring.

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