FacePro - Face Recognition Software using Deep Learning Technology

FacePro changes the game in terms of detection accuracy, as it does not only maintain 90%+ accuracy for faces that are partially covered by sunglasses or face masks, it also recognises faces from photographs that are up to 10 years old. The platform is already in use at Tokyo’s Haneda airport where it has replaced finger print recognition on the passport entry gates, following three years of verification testing.*1

Key Features

High performance facial recognition

• High performance Deep Learning facial recognition function distinguishes face orientation, sunglasses, facial aging change

Cost Advantage 

• Up to 20 cameras can be connected to one server. Reduce the system total cost such as server cost, network cost etc

*The number of cameras that can be connected is determined by the number of people passing and the retention period of the face image.

System Scalability

• Up to 30,000 faces can be registered and WV-ASF950 can be used in large facilities

FACE SEARCH

• Face images that camera detected are stored, and it can be searched later.
• By searching the face database, you can display the result of each cameras in chronological order and find movement locus of persons.
• Specify camera or date in detected face images and display the result in the list in similarity order.

FACE MATCHING

• When it is matched with registered people, alarm of face matching is output in real-time, and display an alarm
  history in the list.
• Specified screen image can be played back on control monitor with double-clicking on an alarm history.

PEOPLE COUNTING, AGE AND GENDER STATISTICS

• Count people of detected face and evaluate their age and gender.
• Display the result on the screen with statistical graph.

Basic System Connection Example

Industry Examples 

*1 For more information on the Tokyo Haneda airport installation, please see:  https://news.panasonic.com/global/press/data/2017/12/en171215-2/en171215-2.html