Singapore’s Defence Science and Technology Agency (DSTA) and Thales have co-developed machine-learning-enabled software modules that are designed to reduce the rate of false alarms in drone detection systems.
The modules could potentially be integrated into systems currently in-use with the Singapore Armed Forces (SAF).
By enhancing a radar’s sensor performance with the help of AI, the algorithms can provide operators and end-users with heightened situational awareness.
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