On today’s show we are talking about security for your real estate projects. But first, we have several opportunities for investment within the Y Street Capital portfolio. Our storage fund continues to make investments in some great projects across the US. To learn more about our storage projects, visit

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These opportunities are only visible to those who register for our investor portal. This podcast is not a solicitation for investment. Any investment is by private placement memorandum only, is open to accredited investors and is in compliance with securities regulations.

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On today’s show we are talking about security for your real estate projects. There is a conventional wisdom that security cameras offer very little protection. Even if an event of interest is captured, the image resolution or lighting is often insufficient to really capture enough detail to identify prosecute and convict. But this is changing. 

There are numerous optimizations that can be made when recording security video.

Most cameras today are using a wide angle lens and capturing a very wide area. But that means a large percentage of the image is not going to contain information of interest. For example, if the upper half of the image is pointing at the sky, you are unlikely to find many security events in that upper half of the image. 

AI is increasingly sophisticated in its ability to distinguish between transient and persistent events in security camera footage. This capability is crucial for reducing false alarms and focusing security efforts on genuine threats. Here's how AI achieves this:

•   AI algorithms can analyze the movement patterns of objects. A car driving by exhibits a consistent, linear motion over a short period, which AI can recognize as a transient event.

•  Conversely, someone loitering, repeatedly returning to a specific area, or leaving an object behind displays persistent behavior that AI can flag as potentially suspicious.

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