Corsight AI develops facial recognition technology that utilizes existing camera systems to provide real-time identification of known persons of interest and unknown suspects. This technology enhances security measures, prevents fraud, and improves customer experiences across various sectors, including retail, law enforcement, and banking.
Funding
$5M 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
Many organizations struggle to proactively identify potential threats and enhance security using existing surveillance infrastructure due to limitations in traditional facial recognition technology. These systems often face challenges with accuracy in real-world conditions, such as poor lighting, varied camera angles, and partial face coverage. This can lead to delayed responses and increased security risks.
Solution
Corsight AI provides facial recognition technology that leverages existing camera systems to deliver real-time identification of persons of interest and unknown suspects. The technology analyzes facial patterns and contextual insights to enable proactive security measures, fraud prevention, and improved customer experiences. Corsight AI's algorithms are designed to overcome challenges associated with poor video quality, limited angles, and other real-world constraints, ensuring reliable accuracy. The system can be tailored for various sectors, including retail, law enforcement, banking, prisons, and construction, offering customized solutions for diverse security needs.
Target Audience
The primary customers include law enforcement agencies, retail businesses, financial institutions, prisons, construction companies, and other organizations seeking to enhance security and prevent fraud through real-time facial recognition.
Features
- Real-time identification of known persons of interest and unknown suspects
- Compatibility with existing camera infrastructure
- Algorithms designed to overcome challenges such as poor video quality, limited angles, and partial face coverage
- Face Data Anonymization to convert faces into digital signatures with automated blurring and hiding biometric data of non-targets
- Anti-bias algorithms to remove race, gender, age and other factors for more accurate identification
- Rapid processing speed, capable of searching 20 million faces per second
- Customizable alerts for specific events or individuals
- GDPR compliance through Face Data Anonymization