IoT sensors can significantly enhance ATM card security by enabling real-time monitoring and advanced authentication mechanisms. For instance, biometric sensors such as fingerprint or facial recognition can be integrated into ATMs to verify the cardholder's identity, adding an extra layer of security beyond PINs. Proximity sensors can detect unusual activities, such as attempts to tamper with the ATM or use cloned cards.

Temperature and pressure sensors can be deployed to monitor ATM surroundings for suspicious activities, such as drilling or skimming attempts. Additionally, accelerometers and gyroscopic sensors can detect physical tampering, sending alerts to security teams. IoT-connected cameras with motion detection can work alongside these sensors to capture and analyze suspicious movements, ensuring rapid action against fraud.

Furthermore, IoT sensors enable geofencing, ensuring that transactions are approved only within predefined locations, reducing unauthorized use of ATM cards. By combining these sensors with machine learning algorithms, IoT systems can analyze data patterns to detect anomalies, thereby preventing fraud proactively.

For professionals looking to excel in implementing such advanced security solutions, obtaining an IoT professional certification can provide the necessary skills and knowledge to design, deploy, and manage IoT systems effectively.