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HomeTech TrendsAI-driven theft protection: How smart cars are fighting carjackers

AI-driven theft protection: How smart cars are fighting carjackers

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Thieves are getting smarter by the day; they are no longer breaking windows and steering wheel locks. Their method has evolved into a digital warzone, where they come equipped with hacking devices and keyless entry equipment. But here’s the good news: carmakers have unlocked the code of carjackers by providing users with AI tools that will keep cars safe from thieves.

Unlike traditional alarms that react after something happens, AI lets your car think ahead. It’s not just about locking doors; it’s about predicting intent based on data. This may sound a bit futuristic, but it’s already happening in high-end vehicles. Here are a few systems that fight carjackers for you:

Interior camera

Advanced facial recognition technology is used by the car’s interior camera to confirm the driver’s identity before turning on the engine. The high-resolution gadget uses infrared imaging to consistently capture fine-grained facial features in low light. To create a distinct facial embedding, the collected image is processed by a neural network that has already been trained, such as FaceNet. Pre-registered profiles that are kept in the vehicle’s processing unit are compared to the embedding. The system notifies the registered owner and blocks access to essential features if the distance is greater than a predetermined threshold.

Biometric engine authorization

A car’s engine start button employs dual biometric authentication, which consists of facial recognition for secondary confirmation and fingerprint verification on the button. This guarantees the individual starting the vehicle is authorized and the same person who was previously confirmed as the driver. After being captured by the sensor, the fingerprint is sent to the vehicle’s processing unit for verification. The driver’s identity is verified by the interior camera, which takes a new picture of their face and reruns the facial recognition algorithm.

Biometric door

Only those with permission can access a vehicle door courtesy of the biometric handle. Its optical fingerprint sensor or palm vein recognition module allows it to collect biometric information in a non-intrusive manner. This gives the security procedure more redundancy, prohibiting unwanted access even in the event that the key is present. The sensor is activated when it comes into contact with human skin, and the car’s embedded computing unit processes the high-resolution image of the fingerprint.

Near-infrared light is the perfect option for high-security applications since it lights the hand and captures the distinctive vein pattern beneath the skin for palm vein recognition. To provide a smooth user experience, the biometric system compares input against registered profiles using a trained neural network. The handle will open the door if the input fits an allowed profile; if not, a warning system will be triggered, informing the owner through a mobile app that is linked.

Driver monitor

To keep the driver under control during the trip, the car’s security system keeps an eye on them constantly. This is essential to stop illegal handovers and carjacking. To identify and react to modifications in the driver’s profile, the system makes use of real-time facial recognition and biometric steering wheel sensors. In order to verify the driver’s fingerprints against the profile that has been stored, the system additionally makes use of several capacitive fingerprint sensors.

Anti-Theft Response

The Anti-Theft Response is a ground-breaking system that takes immediate preventive action in response to hostile takeovers or theft attempts. It examines sensor data from cameras, driving behavior models, and biometric inputs. It starts a multi-step reaction mechanism that includes immobilization, lockout, notifications, and alarm activation if it detects unlawful activity. Additionally, the system makes use of IoT connectivity to improve theft recovery by enabling remote control via adaptive intelligence, data backup, and a mobile app.

Over time, the system improves its reaction mechanisms by learning from previous theft attempts, protecting the vehicle, and drawing attention from the public. Additionally, the technology gives local authorities and the registered owner real-time notifications, including GPS tracking information in real time.

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