The latest advances in Facial Recognition Technology have been attracting a large audience. VIA’s aim is to understand the growing demand in the FRT market in order to provide better service for our customers

1. VIA VIEW:
Facial Recognition Trends Report
VIA Technologies, Inc

2. Facial Recognition
Technology (FRT)

3. The latest advances in Facial Recognition Technology have been
attracting a large audience. VIA’s aim is to understand the
growing demand in the FRT market in order to provide better
service for our customers.
Our aim

4. VIA conducted an investigative survey to learn
about emerging facial recognition trends. Our
survey questions gauged customers’ interests
and preferences in potential applications, desired
features, and implementation processes.

5. Key Findings
Security is the most highly desired FRT application.
FRT’s object detection and black list/white list features have
the highest demand in the market.
Customers are looking for a combination of cloud and edge
processing capabilities, and they plan to mostly use IP cameras.

6. 01 Interest in
FRT is rising

7. With a current global market size of almost $4 billion
USD and a projected valuation of $9.78 billion USD
by 2023, facial recognition is a market to closely watch.
Facial recognition is a growing market

8. Are you interested in
building facial recognition
systems?
92.4% of participants reported that
they are interested in building facial
recognition systems, and the demand
for facial recognition is expected to
rise tremendously in the coming years.
92.4%
7.6%
Yes No

9. 02 Popular
Applications

10. What kind of facial recognition business
applications are you interested in ?
Security is the most popular
application, according to the
results of our survey. 37% of
participants showed interest
in implementing FRT for
security purposes. However,
it is important to note that
there is still high interest in
FRT applications in a diverse
range of industries.
37%
13%
18%
20%
12%
Security
Transportation
Industry
Retail
Education

11. OTHER FRT APPLICATIONS
RETAIL
Retail is the second most popular application.
Participants across different industries are interested
in applying FRT in their business operations. FRT can
help retailers detect thefts and bring more
convenience and customization to their customers,
which can in turn increase sales revenue.
INDUSTRY
18% of respondents are interested in FRT applications in
smart industry. FRT is crucial element for manufacturers to
improve supply chain management and enhance the
operations of factories.

12. OTHER FRT APPLICATIONS
EDUCATION
Though FRT applications in education seem
slightly less popular for respondents at 12%, AI
in education is projected to grow 47.5% through
2021. Thus, related applications in education
show huge potential for growth in the future.
FRT can offer additional convenience and safety
benefits in personal vehicles, public
transportation, and commercial vehicles. With
the rise of smart transportation, roads will
become safer for drivers and pedestrians alike.
TRANSPORTATION

13. 03 Desired FRT
features

14. What kind of features are you most interested in?
Object detection is the most
attractive feature for respondents
since object detection can be
implemented in a variety of industries.
23% of respondents are interested in
black list/white list. This feature not
only prevents unauthorized people
from entering buildings but also
identifies VIP customers.
24%
23%
Object detection
Emotional/behavioral analysis
People counting
Demographics
Black list/ white list
19%
17%
17%

15. FRT FEATURES
black &
white lists
demo-
graphics
object
detection
emotional
analysis
people
counting
Object detection and black
& white lists take precedence
over other features
Object detection is the key function customers
are interested in. Object detection is helpful
for identifying products and is widely used in
transportation and security.
Black list and white list are also key to security,
and these features can help maximize security
and improve consumer experiences.

16. of survey participants
expressed interest in
demographics and
people counting FRT
features.
17%
FRT FEATURES
19% of survey participants are looking for an
emotional/behavioral analysis feature in their FRT
solution. Emotional analysis can help companies
improve customer service or detect threats more easily.
Emotional & behavioral analysis
Although people counting and demographics features
appear to be slightly less attractive, they still cannot be
ignored. These basic features are essential for smart
retail and smart security and can help end customers
better track customer traffic.
Demographics & people counting

17. 04 Implementation

18. FRT IMPLEMENTATION
Customers seek a combination
of Edge and Cloud processing.
As facial recognition technology advances,
companies have new approaches of
processing data. Edge processing provides
faster, energy-saving, and safer computing.
Thus, the more respondents indicate a
preference for processing data at the edge
rather than traditional cloud processing.

19. Do you plan to carry out processing at
the Edge or on the Cloud ?
15% of participants are prefer processing data at the edge
only, but a majority prefer to implement a combination of
Edge and Cloud computing.
Cloud only
Edge only
A combination of both
7%
15%
78%

20. 9%
How many cameras do you plan on
installing in each system?
39% of the
participants would
like to install 4 or
more cameras.
Besides, there are
30% of the
participants prefer
only 2 cameras.
39%
22%
30%
1 2
3 4 and above

21. What type of cameras do you plan to use?
61%
27%
5%
7%
The majority of
respondents were
likely to use IP
cameras while the
o t h e r 3 9 % o f
respondents plan
to use USB, CSI,
and MIPI cameras.
IP camera
USB
MIPI
CSI

22. Summary
In this investigation, we discovered that interest in facial
recognition systems is growing at a rapid rate. Security
remains the dominant application in FRT systems, and object
detection and black and white lists are key desired features.
In terms of implementation, customers demand a
combination of Edge and Cloud processing.

23. Thank You