Flexible Integration Approach
Mindbox’s open API architecture ensures seamless connectivity with third-party systems. Whether integrating into an existing HRMS, security platform, or custom business application—PATROL adapts effortlessly.
We offer:
Full in-house integration support
Partner-driven collaboration
Scalable deployment options tailored to your infrastructure
Key Features
- Facial recognition accuracy over 99.5% on public standard data sets
- Face recognition in real-time, depending on resources
- Easily enroll faces from still or video images
- Zero gender or racial bias through model training with millions of faces from datasets from around the world
- Anti-spoofing technology ensures the system cannot be fooled by a photo or video image
- Detect matches with faces in the database and provide alerts
- Create a log of faces in the scene for later investigation
- REST API for building into applications and devices
- Search for similar faces from a single camera or across multiple cameras
- In use in thousands of cameras for access control, VIP greeting, shoplifter, and unwanted person applications
HIGH ACCURACY
Facial Recognition accuracy as high as 99.6% on public standard data set.
Facial Recognition – Accurate and Fast
Using AI and deep learning, Mindbox face recognition has achieved accuracy benchmarks better than industry leaders like Google and Facebook. It scores the following accuracy in the leading public test databases – LFW: 99.6%, YouTube Faces: 96.5%, MegaFace (with 1000 people/distracters): 95.6%.
REAL-TIME RECOGNITION
Face recognition in real time or off-line.
Recognition is available in both real-time and off-line modes and enrollment is available from both video and still images. Facial recognition is achieved by analyzing multiple images per face and can be achieved in around 0.5 seconds depending on resources.
AVAILABLE WITH REST API/SDK
For OEM partners and application builders.
Face Recognizer is available with a REST API/SDK for OEM partners and application builders. Easy integration of alerts is achieved through HTTP/JSON and open architecture.
