Want to know more about Facial Recognition and Artificial Intelligence? You get the details here.

1. Facial Recognition &
Artificial Intelligence
Internal Training Course
Not for public use
Gen Shueh 2020
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2. Add.one 共同創辦人及董事
群傳媒 共同創辦人及監察人
業強科技董事 / 中石化董事 / 晶達光電董事
鈺成材料技監察人
台灣數位出版聯盟理事/監事
智慧學習產業聯盟執行委員
SD協會理事兼相容性委員
MMC協會理事兼行銷委員副主席
About Me: Gen Shueh 薛劍峰
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3. 人工智慧介紹
圖像識別應用案例介紹
座談與互動
Today’s Crash Course
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4. The theory and development of computer systems able to perform tasks
normally requiring human intelligence, such as visual perception, speech
recognition, decision-making, and translation between languages.
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5. A Flashback on History
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7. It’s a
Crowded
Space
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22. What is AI?
Artificial intelligence is imparting a cognitive ability to a machine. The benchmark for AI is the
human intelligence regarding reasoning, speech, and vision.
AI has three different levels:
Narrow AI: Perform a specific task better than a human.
General AI: Perform any intellectual task with the same accuracy level as a human.
Active AI: Beat humans in many tasks.
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23. What is Machine Learning?
➢ Tool to analyze, understand and identify a pattern in the data.
➢ Take decisions with minimal human intervention.
➢ Uses algorithm to understand the relationship between the input and the output.
➢ After learning, it can predict the value or the class of new data point
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24. Machine Learning Process
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25. What is Deep Learning?
➢ Computer software that mimics the network of neurons in a brain (a subset of ML)
➢ Uses different layers to learn from the data. Depth is represented by the number of layers in the model.
➢ Learning is done through a neural network (architecture where the layers are stacked on top of each other).
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26. weighting
Deep Learning Process
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29. When to use ML and DL?
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30. Source
Source
Source
GPU vs CPU?
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32. Selection Preprocessing Transformation Data mining Interpretation
Knowledge in Databases Work
(Data Mining)
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35. Computer vision
hardware and
software market
will grow from $6.6
billion in 2015 to
$48.6 billion annually
by 2022
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36. Detection -> Classification -> Identification
Jane
F36
John
M28
Sue
F32
Unknown
M22
To see, identify and process images the same way as humans
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39. What about Privacy? Effective May 2018
First Tier fine: Up to €10 million or 2% of annual global turnover of the previous year, whichever is higher.
Second Tier fine: Up to €20 million or 4% of annual turnover of the previous year, whichever is higher.
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42. Effective: Jan 2020
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44. Cameras
Computing Power
Database
Storage
Analytics Software
Management Software
Bandwidth
Installation
Maintenance
Replacement
Factors
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45. Video vs Snapshot
Video: 1 Sec = 30 frames / 60 frames
Snapshot: 1 frame per second / 1 frame per 3 seconds / 1 frame per 5 seconds
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46. Fog Computing
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47. Is It Safe?
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49. Choose Wisely!
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50. Is It Accurate?
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51. Face Recognition, Demographics:
1. Entrance
2. POS
3. Ad. Panels
Best
Height
Resolution, Image Quality, Capturing Angles affect Accuracy
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52. Best
Height
Ground
People Counting, Heat map
A. Pathway
B. Entrance
C. Closed Areas
Lighting, Distance all affect Accuracy
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53. Why is iPhone is so accurate and fast? Is it?
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54. 1:1 Comparison : Very Fast 1:N Comparison : Will take longer
Also Depends on the Database
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55. • Venue: Tao Yuan International Airport
• Annual Passengers: 46mn passengers
• Pictures per Passenger: 9
• Total Pictures: 46mn x 9 = 414mn pictures
• Verification Process Speed/Picture = 0.001 seconds
• Process time: 414mn x 0.001 = 414K seconds = 6,900 minutes = 115 hours
Its all about cost (bandwidth + computing power)
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56. Increasing compute speed
+ Database Classification
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60. Accuracy & Precision Rates
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61. Access Control? Really?
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62. 100% Accuracy? Only in Movies People change over time
+ +

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63. Other Applications: Anti Terrorism
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64. Objects in a limited scope have Higher Accuracy Rates
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68. In Summary
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70. Thank You
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