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Facial Recognition System
What's the Facial Recognition System?
Information can also be shared between facial recognition systems by importing generic photo data in the JPEG format, etc. Alarms can notify the operator by displaying pop-ups on the screen, emitting warning sounds, or flashing the camera on the map, etc.
-Face images can be used to perform searches.
For example, face images of suspicious people detected on the sales floor can be searched to track information on a timeline, including what time they entered the store and which sales floor they passed. Whether suspicious people have shoplifted, etc. after entering the store can also be immediately searched for and checked by the facial recognition security/surveillance system.
Since October 18, 2017, three units of Panasonic's facial recognition gate have been put into operation at Tokyo International Airport's immigration control. Without the need for prior registration of biometric data, the system compares photographic data of the traveler's face in the IC chip embedded in the person's passport with a photo taken at the facial recognition gate to verify the identity.
Reference:Panasonic's Facial Recognition Gate Selected by Ministry of Justice
FacePRO Facial Recognition Server Software Using Deep Learning Technology
Product number : WV-ASF950
In Addition, the new software features the "iA (intelligent Auto) mode"*3 that automatically adjusts settings for the camera to shoot optimal images best suited for facial recognition. When it is used with Panasonic's i-PRO EXTREME series network cameras installed with the “Best Shot License Key” that comes bundled with the software, only the “Best Shots” will be sent to the server for facial recognition. The combination of Panasonic core devices and the face recognition software maximizes the performance of the software’s core engine to achieve high-precision recognition. The company plans to add a function to recognize partially covered faces with a surgical mask, which is difficult with conventional systems, by the end of this year.
Furthermore, using this software with cameras equipped with the iA function enables image analysis to be performed on the camera instead of the server to send only the best images to the server. This will result in reducing server and network loads, which leads to overall system cost reductions. In the case of 10 or more network cameras are connected to the system, the costs can be reduced by about 40 to 50% compared to conventional systems that do not use the Best Shot function.
Panasonic will continue to improve its security/surveillance-related products and provide various solutions to meet increasingly diversifying and evolving customer needs, such as facial recognition solutions for integrated management with a monitoring system. By providing these solutions, the company is aiming to become a ”total integrator” capable of contributing to customers’ frontline operations.
Panasonic’s Deep Learning Facial Recognition Software has the following features:
1. High precision:
- The world’s highest facial recognition engine as evaluated by NIST (IJB-A face challenge)
- iA function and Best Shot images maximize facial recognition engine performance and provide high recognition precision
2. System cost reduction: Send only the “Best Shot” images to reduce server load and network load
3. System expandability:
- Register up to 30,000 faces (Available as an option)
- Integrated management with i-PRO monitoring system: Enables integrated management of a facial recognition system and monitoring system with the same GUI
*1 FACEPRO is a registered trademark or trademark of either Panasonic Corporation or Panasonic Corporation of North America.
*2 In April 2017, the product achieved the highest level of facial recognition performance in the world in a comparison test (IJB-A Face Verification Challenge Performance Report/IJB -A Face Identification Challenge Performance Report) of NIST (National Institute of Standards and Technology) of the United States, one of the most authoritative institutes in the world.
*3 A function that utilizes the technology of Panasonic's "LUMIX" consumer digital cameras to capture optimal images for facial recognition by automatically detecting the moving objects, movement speed, faces, and light intensity (whether the scene is day or night) found in video that is usually hard to see due to subject movement and backlight, in order to enable real-time optimization of settings.
Reference: Panasonic to Launch Facial Recognition Server Software Using Deep Learning Technology
Top-tier facial recognition engine evaluated by NIST (IJB-A face challenge)
*4 Rejection rate reduced to 20% when the wrong person acceptance rate is set to 0.01 with the IJB-A face image dataset.
- A unique algorithm that combines deep learning, a machine learning method, with a similarity calculation method that suppresses errors, enables recognition in situations that were difficult with conventional facial recognition technology, such as when the face is angled (up to 45 degrees to the left or right or 30 degrees up or down), partially hidden with sunglasses or a surgical mask*5, or changed by aging.
*5 Scheduled for launch by the end of 2018
After:±40° or more
- Hidden face part (Sunglasses)
After: Dark color lens
Before: Light color lens
Hidden face part (Surgical mask)
- Other (Changed by aging)
iA function and Best Shot images maximize facial recognition engine performance and provide high recognition precision
- The Best Shot License Key included with this software can be installed on Panasonic i-PRO EXTREME series network cameras (sold separately) to automatically select the images suitable for facial recognition from the multiple face images captured when a person passes in front of the camera, and send only those selected images to the server. This enables high-quality images suitable for facial recognition to be sent without putting a load on the server.
Send only the Best Shot images to reduce server load and network load
- With conventional facial recognition systems, all captured images are sent to the server, and the server performs face detection and facial recognition, which concentrates the load of data processing on the server. Systems also tend to be large-scale because of the large bandwidth required to send all the images and the high capacity hard drive space required to save those images.
- With this Panasonic system, it is no longer necessary to send the data-intensive high resolution images to a server, unlike conventional systems. This delivers high-precision facial recognition while dramatically decreasing network traffic, transmission costs, and network construction costs.
- When using Panasonic’s system with 10 or more network cameras connected, costs can be reduced by about 40 to 50% compared to conventional systems that do not use the Best Shot function.
*6 The number of cameras that can be connected depends on the number of people passing by the camera and the retention period for face images.
Register up to 30,000 faces (option sold separately)
Integrated management with i-PRO monitoring system
Face detection, facial recognition, and tracking with recorded video can be performed in the same GUI by performing integrated management with the WV-ASM300 or WV-ASE231W client software for Panasonic i-PRO monitoring systems. This eliminates the need for the dedicated operation and management required for conventional facial recognition systems and enables work to be centralized.
The State of the place on the day of press release
- Place : Tokyo and Osaka, Japan
Face search function
A user will then be able to access this database, and will be given the option to select a particular face. With this functionality, the user can choose to set an alarm to be sounded upon future detection of this subject, or simply track a particular person's movements in chronological order throughout all of the cameras in the system.
- Face images that camera detected are stored, and it can be searched later.
- By searching the face DB, 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 function
Thanks to the direct connection between camera and server, you can control and gather insight from up to 20 remote cameras from one server, at the same time. With face matching and visual analysis carried out by the system in real time, your operator can easily access any recorded images related to that face or customer, via the GUI in their monitoring software.
- 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.
- The statistical data can be saved as a CSV file for analytical use.