Faception utilizes proprietary computer vision and machine learning algorithms to analyze facial images and identify personality traits, enabling organizations to assess potential threats in real-time. This technology enhances public safety by providing actionable intelligence on individuals in various environments, such as airports and public spaces, without relying on personal identification data.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Existing security measures often struggle to detect potential threats in crowded public spaces due to reliance on manual profiling, behavioral analysis, and biometric data that require prior identification. This makes it difficult to proactively identify individuals who may pose a risk, especially when they are not already known to authorities. Current methods lack the ability to efficiently and anonymously assess potential threats in real-time.
Solution
Faception offers a computer vision and machine learning technology that analyzes facial images to reveal personality traits and potential behavioral patterns. The technology analyzes faces from video streams, cameras, or databases, encoding facial features into proprietary image descriptors. These descriptors are then matched against a library of classifiers, each representing a specific personality type or trait, such as aggression or high IQ. By scoring facial images against these classifiers, Faception provides actionable intelligence to security agencies, enabling them to identify and focus on individuals who may pose a threat to public safety. The system operates anonymously, without requiring personal identification data, and can be integrated with existing face recognition platforms.
Target Audience
The primary target audience includes security companies, law enforcement agencies, and government organizations responsible for public safety and security in environments such as airports, train stations, and public buildings.
Features
- Analyzes facial images from video streams, cameras, and databases
- Encodes faces into proprietary image descriptors for personality trait matching
- Employs machine learning to develop classifiers representing various personality types and traits
- Scores individuals based on their fit to predefined classifiers
- Provides actionable intelligence to security agencies for threat detection
- Operates anonymously without requiring personal identification data
- Integrates with existing face recognition platforms