Here are some examples (from the Japanese website) showcasing...

Here are some examples (from the Japanese website) showcasing real-life detection capabilities:

1. Unusual “position”


An abnormality is detected when a person, vehicle, or motorcycle is in an area where it should not be.

・Staying due to eating/drinking/photography or nuisance
・Dangerous acts (children's mischief, delivery on different routes)
・Intrusion into partitions/plants
・Smoking, cigarette littering
・Movement overcoming measures
・ Violation injection, bicycle parking
・Passengers on roadways and vehicles on sidewalks

2. Unusual “number”


Abnormality is detected when the number of people, vehicles, and motorcycles is abnormally larger or smaller than usual.

・A nuisance such as hanging out, drinking alcohol, or taking photos without permission
·Traffic jam
・Violation of number limit
・Protest
・Using an emergency exit

3. Unusual “speed”


Detects people, vehicles, and motorcycles that move faster than normal as anomalies.

・Dangerous work (such as unreasonably fast transportation)
·skateboard
・Vehicle slip
・Cars that are speeding
・Bicycle/motorcycle traffic violations

4. Unusual conditions “by time of day”


Anomalies are detected when people, vehicles, or motorcycles are present during an unexpected time period.

・Nighttime hanging out/drinking
・Intrusion after closing
・Use after hours
・Intrusion into the partition area

5. Unusual “movement in direction”


When a person, vehicle, or two-wheeled vehicle moves in an unusual direction, it is detected as an anomaly.

・Reversing on the escalator
・Reversing the escalator
・Vehicle/bicycle reverse/slip

6. Human fall


An abnormality is detected when a person lies on the floor for 3 seconds or more.

・Falling/injured person
・Maintenance worker lying face down
・The child is lying down
Violent behavior leading to falls

7. Generation of fire and smoke


An abnormality is detected when fire or smoke is detected.

・Ignition and smoke from equipment

8. Retention


Detects when people are staying.

・A person who stays in the same place for a certain period of time
・Crowds at the entrance/exit of the facility
・Gathering of smokers

9. Person/vehicle count


Displays a count-up of the number of people and vehicles detected per hour/day for each camera.

・Understanding congestion times and locations
・Understanding traffic volume around the facility
・Obtain marketing data and provide it to tenants

10.Heatmap


Displays the relative value distribution of the residence time/number of people/vehicles/bicycles within the field of view of each camera.

・Understanding traffic conditions and key areas
・Understanding residence time
・Review and strengthen security system
・Improvement of facility layout

11. Leaving luggage unattended


Detects when luggage (suitcase or backpack) is left unattended for a certain period of time.

・Prevention of theft
・Reducing potential risks by identifying suspicious objects