Reduce False Positives with Intruder Detection
Turn existing security cameras into intruder-detecting smart cameras, no new hardware required
Eliminate False Positives and Improve Threat Detection
Existing threat detection systems suffer from rampant false positives, high costs, and inefficiencies. Actuate uses deep learning AI to eliminate traditional systems’ shortcomings, including motion-based false positives.
Actuate’s AI threat detection closely monitors spaces for instances of people being where they’re not supposed to be. The AI software instantly alerts security staff of unauthorized entries and individuals acting in a threatening manner—reducing false positives by 95%+.
Actuate’s threat detection software includes detailed threat tracking capabilities that further protect facilities and organizations.
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Benefits
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Software Only
Cloud-based AI integrates in minutes, no hardware required.
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Actuate vs. Facial Recognition
Actuate
Effectiveness
Intruders and weapons are immediately identified as anomalies
Accuracy
Evaluating a detection simply requires human review of the image to confirm a threat
Transparency
Low requirements results in compatibility with existing cameras, even legacy analog devices
Privacy
Analyzes objects—not individuals—and stores no customer data, eliminating compliance and privacy concerns
Facial Recognition
Effectiveness
Perpetrators are often security-approved students or employees, making facial recognition useless
Accuracy
Reacting to a detection is disruptive and requires apprehending a suspect and often results in dozens of daily false positives in busy spaces
Transparency
Hard to achieve high accuracy with existing camera systems due to the high resolution required to tell faces apart
Privacy
Facial recognition creates and stores extensive, personally identifiable information, creating a security and compliance challenge
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Use Cases
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Resources
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IT Integration
Learn about how Actuate integrates with your security system.
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