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Confidential
Other projects, examples (3/3)
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Industry Theme Project overview (objects and detection targets) Types of data used
Infrastructure Railway inspection Inspection of train railway Image data including the target construction
Infrastructure
Scrap copper
estimation
Estimation of scrap copper (breaking down to subdivisions) Image data per type
Infrastructure
Estimation of
danger levels
Objects/positions where incidents may happen (building exits, etc.) Image data, sensor data
Logistics
Estimation of
anomaly
Detect anomaly of logistics equipment
Sensor data and anomaly data of the target object to be
detected
Logistics
Visualize
packaging
Measurement of the time spent for packaging and the number of packed items
Video of packing work of the target products, image of the target
items to be packaged, classification linked to the items to be
packaged
Logistics
Prevent dangerous
driving
Raise an alert for dangerous driving based on multiple definitions Data of drivers obtained by sensors
Construction,
Logistics
Risk/incident
mitigation
Raise an alert when people come too close to machines Video data of the target in the factory to be detected
Game Cheat detection
Detect unauthorised accounts from action log in a game. Auto monitoring of field
activity log, etc., by AI to check/monitor accounts conducting unauthorised
actions.
Action log in a game, battle history, field activity log
SNS
Detect
unauthorized posts
(social media
function)
Auto monitoring by AI to check if posted texts, images, videos, etc., by users
include inappropriate contents (abusive language, offensive to public order and
morals)
Image, video, texts
Media
Advertisement CTR
prediction
Use past Advertisement distribution data to train image features and actual
results to predict the degree of effectiveness by the features of new images
Image Advertisement data (image file, number of display,
number of clicks, number of conversion)
Media
1to1
recommendation
Optimize display of contents in the client’s service
User data (purchase log, user master data, feedback data),
Metadata
Communicatio
n
Demand prediction
for store sales
Demand prediction for the number of store sales per store/ per product
Past purchase data per store, customer data per store, Factor
data that may correlate with demand per store
Leasing Total platform Maximize profitability by dynamic pricing
Past sales history data, stock status data, external input data
(Big data - events, weather, competitors, social media, etc.)
Medical
Automated medical
inspection
Automated ocular fundus examination by utilizing AI Medical image data
Confidential
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