face recognition software company

Top 10 Face Recognition Software Company With High Security

1. Face Attendance By Gigasource

  • Headquarters: Berlin, Germany
  • Founded: 2015
  • Employees: 50–249
About Gigasource

Gigasource custom facial recognition attendance system is powered by unique biometric data to make sure that staff must be physically present at the clocking station. Without any special equipment, our facial recognition solution turns a standard Android tablet/smartphone into a cost-effective clocking station.
Gigasource offer face recognition app for android free download.

  • Speedup 0.2s & Up to 95% Accuracy
  • Multiple Face Detection
  • Real-time face detection
  • Mobile App & Window App
  • Set a range of check-in, checkout limit
  • Comprehensive Report
  • Cloud-Based Facial Recognition
  • Online & Offline Mode

2. Facefirst Face Recognition Software Company

  • Headquarters: USA
  • Founded: Not given
  • Employees: Not given
About Facefirst

Facefirst helps to convert your camera data into real-time insights for a safer ans smarter world. This is one of top facial recognition software companies.

  • Validate employee identities at entrances and access control points.
  • Deliver true role-based access to sensitive data
  • Manage access to secure areas and data for visitors

3. Findface Facial Recognition Solution

Location: Russia, Moscow
Founded: 2016
Employees: 50-100

About Findface Facial Recognition

Findface technology helps to recognize loyal customers at the doorstep with high security. Make their visit as enjoyable and productive from the first sight. The face recognition attendance software can boost their loyalty without issuing loyalty cards, and view their visits statistics over the entire archive storage period.

  • Real-time Search
  • Access Control
  • Statistics Collection
  • Search in video archives
    Gender, Age, Emotion Recognition
  • Search Speed
  • Face Liveness
  • Recognition Technology
  • Visitor Counting Accuracy

4. Visage Face recognition software for identification and identity verification

  • Location: Linköping, Sweden
  • Founded: 2002
  • Employees: 50-100
About visagetechnologies Face Recognition

Facial recognition is based on face descriptors. The system calculates the similarity between the input face descriptor and all face descriptors previously stored in a gallery. The goal is to find the face(s) from the gallery that are most similar to the input face.

  • Fast and lightweight
  • Platform & device-independent
  • Easy to integrate
  • Privacy assured

5. DERMALOG Face Recognition

  • Location: Hamburg Germany
  • Founded: 1995
  • Employees: 100-200
About DERMALOG’s Face Recognition

DERMALOG’s Face Recognition is known for highest accuracy and speed: around 1 billion matches per second on a single blade.
Furthermore a module for spoof detection can be purchased. It will detect spoof attacks using photographs or masks

  • Easy to integrate into ABIS
  • Combining high speed with a high accuracy
  • Liveness detection to prevent attacks
  • Live detection of feature points on the face (eyes, mouth, nose)
  • Live passport image compliance checks
  • Automatic face cropping
  • Possibility to extract the captured face
  • Robust and fast tracking of multiple faces on videos
  • Possibility to estimate facial expression
  • Supports all common image file formats

6. AI-based Face Recognition By IntelliVision

  • Location: San Jone CA, USA
  • Founded: 2003
  • Employees: 50 – 100
About intelli-vision Facial Recognition

Face Recognition detects faces in the camera’s view and matches them against faces previously stored in the database.Faces can be enrolled in the database from existing images or the video camera.

  • Facial recognition accuracy over 99.5%
  • 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

7. FaceX Face Recognition

  • Location: Bangalore, India
  • Founded: 2018
  • Employees: 10-50
About FaceX

FaceX provides a platform for firms to implement facial Recognition into their applications with ease. It enables developers to integrate APIs and SDKs with only a few lines of code.

  • Face Detection
  • Face Landmarks
  • Face Recognition API by FaceX
  • Spoof Detection SDK by FaceX
  • Face Tracking SDK by FaceX

8. DLive Facial Recognition Software Company

  • Location: NEW YORK, USA
  • Founded: 2016
  • Employees: 10-50
About DLive Face Recognition

DLive Face is a completely passive facial liveness detection solution that works in the background with any face biometric system to perform a frictionless liveness check.

  • Passive UX – no action required
  • Single Shot Analysis
  • No special capture software required
  • Cross channel input: mobile, web, stand-alone devices
  • Background implicit method of attack detection
  • Detection of a digital selfie or video
  • Detection of “flat” images
    Identification of natural face movements

9. NEC’s face recognition

9. NEC’s face recognition

  • Location: Tokyo, Japan
  • Founded: 1899
  • Employees: 110,595

NEC’s face recognition offers high-performance, scalable solutions for the most demanding real-time or post-event requirements. With face surveillance, search, identification and verification functions all on a single platform, it can be easily integrated into existing surveillance systems to extract faces in real time, match against an existing database or watch list and produce real-time alerts to help reduce public safety risks.

10. Face machine by 3Divi

  • Location: Tokyo, Japan
  • Founded: 1899
  • Employees: 110,595

Turn-key components with integration API for real time face recognition in video and images. Consisting of Face Machine Client application for real-time face recognition video processing on the edge devices.

  • Plug-and-play components for quick deployment
  • Offline/edge face recognition
  • Cross platform
  • Container based architecture
  • Integration API support
    White label