3. Disclaimer - Content
• All information in this document is for restricted use.
• Hanwha Techwin reserves the right to change or modify the content of this document without any notification.
• This document is strictly prohibited to share without consent from HTME
• The information used in the document is based on the information preset at the time of presentation and expected to change as
technology advances
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5. Contents
Total Session Hours = 2.5 Hours , Class Hours = 2 Hours 15 Mins , Break = 15 Mins
0:00 CCTV - Analog , Hybrid & IP Systems
0:30 About Artificial Intelligence – Deep Learning
1:00 Break
1:15 Analytics – Traditional vs AI ( Artificial Intelligence )
1:45 Image Enhancements – Traditional vs AI
2:15 Bandwidth Enhancement – Traditional vs AI
2:30 End of Session
10. AI vs. Machine Learning vs. Deep Learning
What is the difference?
Artificial
Intelligent
Machine
Learning
Deep
Learning
1950’s
1980’s
2010’s
Programs with the ability to learn and
reason like human
Algorithms with the ability to learn
without being explicitly programmed
Subset of machine learning in which
artificial neural networks adapt and learn
from vast amounts of data
11. Machine Learning
Performing a function with the data given to it
It is dark!
Output
Algorithm
Input
Training with given data
Dark, Turn on the light, Light on, Switch on the
light, Dim up… .etc.
12. Machine Learning
Using a layered structure of algorithms called an “Artificial Neural Network”
I cannot
see
anything..
Output
Algorithm
Input
Artificial Neural Network
13. Reducing False alarm based on AI
The AI cameras detect and classify people, vehicles, faces and license plates and more in real time, greatly enhancing the accuracy
of video analytics. While conventional cameras detect motion based on its pixels and generate events even if users want to ignore.
AI algorithms can discern person as distinct objects separate from their surroundings such as waving trees, shadows, or animals.
AI cameras are able to help improve operator efficiency.
14. Reducing False alarm based on AI
The new AI cameras detect and classify people, vehicles, faces and license plates and more in real time, greatly enhancing the accuracy
of video analytics. While conventional cameras detect motion based on its pixels and generate events even if users want to ignore.
AI algorithms can discern person as distinct objects separate from their surroundings such as waving trees, shadows, or animals.
AI cameras are able to help improve operator efficiency.
Non AI camera P series 2MP AI camera
24. Attributes for Forensic Search
- AI camera sends metadata including attributes of objects, coordinates information and setting value to backend server.
- . Person, Face, Vehicle category and so on.
Vehicle color & type
Gender
Face (Age, Mask, Glasses)
Top wear/color
Bag
Bottom wear/color
32. Uses of AI Analytics for Business
AI cameras overcome the inconvenience from the conventional and save the installation expense.
Users had to install additional cameras for Business Intelligence(People counting and Heatmap).
But Wisenet AI cameras can detect and classify people at any angle without additional cameras installation.
AI Camera
People Counting
Conventional
Heatmap
Queue Management
AI-based People Counting
People Counting
Camera 1
Video Monitoring
Camera 2
People Counting
34. Artificial Intelligence Recorders with AI Processor
Attributes
Attributes : People (Clothing colors for top and bottom/ Wearing or carrying a bag) / Face (Age group, gender, mask/
glasses wearing) when integrated with Wisenet AI cameras, Vehicle (Types, colors) / License plate (Optical technology
converts images into texts for storage, supporting search in text
Detection Recognition Attribute
AI NVR
+
AI Camera
Person O - O
Face O O O
Vehicle O - O
License Plate O O -
AI NVR
+
Non AI Camera
Person O - O Top / Bottom Color, Bag
Face - - -
Vehicle O - O Type / Color
License Plate O O -
37. Shutter Speed (~Exposure Time)
How much time the light is given to enter the camera.
Shutter speed Slower Faster
Gathering light
Motion blur More Less
Clearly freezing the fast movement
Adding motion blur to a moving subject
Brighter Darker
Open source images - unsplash
39. Gain Control
A measure of the electric signals amplification .
Increasing the gain makes the image brighter, but nosier.
Gain level Lower Higher
Brightness
Image noise
Darker Brighter
Less More
42. TEST _ Environment ( Illumination ~ 5 lux)
Camera default setting
– Minimum Shutter Speed : 1/5
– Maximum Shutter Speed : 1/12000
– SSNR level : 12
– AGC : High
Attached video is encoded so the video quality may be different with actual video.
43. TEST _ Adjust minimum shutter speed
Camera setting
– Minimum Shutter Speed : 1/200
– Maximum Shutter Speed : 1/12000
– SSNR level : 12
– AGC : High
Attached video is encoded so the video quality may be different with actual video.
Before Adjustment
After Adjustment
44. TEST _ Adjust SSNR Level
Camera setting
– Minimum Shutter Speed : 1/200
– Maximum Shutter Speed : 1/12000
– SSNR level : OFF
– AGC : High
Attached video is encoded so the video quality may be different with actual video.
Before Adjustment
After Adjustment
45. TEST _ Adjust AGC Level
Camera setting
– Minimum Shutter Speed : 1/200
– Maximum Shutter Speed : 1/12000
– SSNR level : OFF
– AGC : Low
Attached video is encoded so the video quality may be different with actual video.
Before Adjustment
After Adjustment
46. TEST _ Optimized Setting
Camera setting
– Minimum Shutter Speed : 1/120
– Maximum Shutter Speed : 1/12000
– SSNR level : 4
– AGC : Middle
Attached video is encoded so the video quality may be different with actual video.
Before Adjustment
After Adjustment
49. Improved image quality
The newly applied AI-based noise reduction technology WiseNRII function based on object detection allow AI cameras to optimize image noise
and motion blur depending movement of objects (person, vehicle). This effectively resolves the issue of image blur and ghosts effect caused by
excessive noise reduction.
WiseNRII
WiseNRII Off WiseNRII On
50. 2-2. Improved image quality
The newly applied AI-based noise reduction technology WiseNRII function based on object detection allow AI cameras to optimize image noise
and motion blur depending movement of objects (person, vehicle). This effectively resolves the issue of image blur and ghosts effect caused by
excessive noise reduction.
2. Point
WiseNRII
51. Improved image quality
AI based Prefer Shutter technology utilizes the latest AI technology to identify appearance and movement of objects and readjusts the Prefer
Shutter value to an optimal level to effectively improve noise and reduce motion blur. In a scene without objects, shutters are automatically
adjusted to low speed to maintain low levels of noise as well as bright and clear images. In a scene with lots of object appearance and movements,
shutters are adjusted to high speed to reduce motion blur and deliver clear images.
Prefer shutter control
Prefer shutter Off Prefer shutter On
57. Codec History
57
H.264: Advanced Video Coding (MPEG-4 AVC)
H.265: High Efficiency Video Coding (HEVC)
H.265 was developed for high resolution
transmission with low bandwidth without losing
resolution or picture quality.
1992: JPEG
Mid 1990’s: MJPEG
1995: MPEG-2
2004: H.264
2013: H.265
59. Encoding H.26x (1/2)
59
Encoding the frames:
Divide the image to blocks that is 16X16 or 32X32 pixels (Macroblock MB).
Frame 1
Full frame
(I or Key Frame)
Frame 2
Partial Frame
(P Frame)
60. Bandwidth Utilization
1080p 15fps
720p 30fps
VGA 5fps
Multi-Profile
10 unique profiles can be configured,
each with unique resolution, frame
rate, bit rate, Codec, & more
Perfect for LAN/WAN monitoring
61. Bandwidth Utilization
Minimum Streams x 3 Configurable
Recording Stream
Live Stream
Low Res Stream For Multi View
Optional Streams
Mobile/Web View
SD Card Recording
Redundant Recording
3rd party systems etc.
62. H.265
High Efficiency Video Coding
Adopted into the Wisenet X / P / Q / T series cameras for up to 50% less bandwidth and storage than H.264 codec,
leading to increased cost savings.
H.265 H.264
BW 5Mbps BW 10Mbps
Recording 30Days
1TB
1.62TB
Recording 30Days
1TB 1TB 1TB
3.24TB
64. H.265 + Wise Stream
Wise Stream is an efficient way to reduce storage and bandwidth by dynamically choosing your areas of
motion and regions of interest as your high definition areas, while leaving the rest of the video at a lower
resolution.
Kbps Kbps
65. H.265 + Wise Stream with AI
• Save Bandwidth and Storage Costs
• Automatically Adjust Based on Motion in the Scene
• Works with H.265 and H.264
H.265
66. Improved Storage Saving
A new cutting edge video compression technology WiseStreamIII operates based on the object detection accomplished by AI algorithms. When
combined with the H.265 compression technology, bandwidth can be reduced by up to 80% without compromising the video quality, enabling
efficient video management.
WiseStreamⅢ
Objects detected,
Low compression
High quality
