Hi Piotr,
Thank you for the responses. Here's my idea for Smart Cities:
Target Area: Popular multicultural dining street with many diff types of restaurants (Thai, Vietnamese, Chinese, Lebanese, Greek, Italian...etc) on both sides of the street. Local Council cordons off street block and allows businesses to spill onto the street = 24/7 Street Dining.
1) Strategically place cameras at entry and exit points and several cameras in amongst diners on the street.
2) Axxon One AI Analytics and Forensic Search - Can track an individual's movements from entry to exit. Which business did they eat at? How long did they stay? Facial expressions happy, angry or sad? Did she come with friends? How many? Did they visit a pub for drinks before dinner? We don't need to know the person's name, just their sex and age.
3) Axxon One Heat Map - Can show which businesses did well in footfall traffic over a specific time period. Which businesses did well that night in terms of diners? How many diners did they serve on average for the night?
4) Axxon One People Counting - Council puts on a heavy metal concert and 20,000 people rock up. The following night they put on a classical music concert and 100,000 people turn up. Council now knows which events do well for a particular target precinct and provide more of that type of entertainment.
5) Axxon One Skeletal Analytics - out of 100,000 patrons, 3 people have a heart attack and the Event security guards and Ambulance are immediately notified resulting in all three patrons being revived in time and surviving ordeal making the event a safer one for all ages.
6) Axxon One AI Analytics and Forensic Search - cameras can be extended to public transport areas. Can track an individual if they came by bus, train, light rail, Uber or taxi. Which buses were busiest during the heavy metal concert? Did the patrons come from the Western suburbs, the Eastern suburbs or the North Shore? Did they come individually or as a group? Which time period was the busiest time for public transport before and after a heavy metal concert and a classical music concert?
7) Axxon One Licence Plate Recognition, MomentQuest and Forensic Search - can track individuals/groups that came by car. Which suburbs are the cars registered in? Could they have taken public transport and still chose to drive into the precinct?
8) Axxon One AI - can be trained to calculate a target precinct's Vibrancy Score which can then help property developers know which areas are best to invest in for greater returns. Decision making based on real-time data.
Would the above scenarios work? Is Axxon One capable of delivering on the above assumptions?
Hi Piotr, I am already working with Mike and Viacheslav. I just wanted to share on the community forum just in case someone has already successfully deployed a Smart City project who could give me an insight or two. Which module of Axxon One to use for a specific scenario and which camera to use and why. Thank you for your information to date. It's been helpful.