SpotterRF is announcing it’s forthcoming software release for its NetworkedIO (NIO) 4.0 software platform which adds Machine Learning and Artificial Intelligence (AI) for the automatic classification of targets.
SPOTTERai is an automatic track classification included as part of the NIO software that ensures a trainable neural network that based on low-level radar data automatically assigns a classification type and confidence level for each target.
The use of AI and Machine Learning in the NIO assists in reducing false alerts and allows end-users to improve the performance of the system simply by manually selecting the type of targets being tracked and retraining the AI. “The AI classifier and trainer are an excellent tool to further reduce false alarms and reduce the workload on the operator. After the operator manually classifies 30 tracks or more of at least two different types the AI is able to differentiate between those types, such as between cars and people or birds and drones with confidence that increases as more tracks are classified”, said Logan Harris, CEO, and Founder of SpotterRF.
“With our new AI engine, customers will be able to focus on targets that matter. We’ve heard from our user base that they appreciate our NIO software being so flexible and easy to integrate with other systems.
With the addition of AI, we ensure our products are even more valuable in preventing harm at their sites”.