You're assuming that individuals would have to be singled out for analysis in the first place. They wouldn't. With enough computing power, it'd be trivial to run this sort of analysis in near real-time for everyone. A few years down the line, this is even less of a concern: increased power, improved analysis tools, and greater efficiencies will all come together to empower just such a system at costs manageable by many local governments (particularly if they start working together to manage costs).
This means you've got a practical means of confidently predicting potential crime. Even better, the same mechanisms that help you predict potential criminal acts also help you close active cases more efficiently. That inevitably results in significant boosts to police productivity.
So armed, you now get to deploy your existing resources more effectively. Instead of parking a patrol car at a "pretty good spot" to nail violators for a few hours, you'll reposition yourself continuously to the location offering the greatest probability of an arrest/citation at that specific moment in time. Instead of passively waiting for violators to happen across your location, you're actively positioning yourself to nail them directly. The specific individual doesn't matter.
But you won't be dispatching patrollers in the current manner. Since you'll also be tracking your own patrol cars, you can correlate the two and dispatch each car to the highest probability incident nearest to them where they're likely to catch a potential perpetrator. By having everyone under effective surveillance, for every minute of every day, each of your resources will always be deployed in the most efficient manner possible.
Where it really gets wild is when you start to consider traffic enforcement automation along with the push for local government drone coverage. Along with the existing red light and speed cameras, you'll have mobile platforms capable of filling in for any holes in your patrol car coverage while also benefitting from the same efficiency gains described earlier. And they'll be gathering additional data (movements, facial recognition, automatic number plate recognition, etc.) to send back to base while they're doing it.
It won't be like The Machine from Person of Interest, but all things considered, it'll be closer to it than anything else to date.
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You're assuming that individuals would have to be singled out for analysis in the first place. They wouldn't. With enough computing power, it'd be trivial to run this sort of analysis in near real-time for everyone. A few years down the line, this is even less of a concern: increased power, improved analysis tools, and greater efficiencies will all come together to empower just such a system at costs manageable by many local governments (particularly if they start working together to manage costs).
This means you've got a practical means of confidently predicting potential crime. Even better, the same mechanisms that help you predict potential criminal acts also help you close active cases more efficiently. That inevitably results in significant boosts to police productivity.
So armed, you now get to deploy your existing resources more effectively. Instead of parking a patrol car at a "pretty good spot" to nail violators for a few hours, you'll reposition yourself continuously to the location offering the greatest probability of an arrest/citation at that specific moment in time. Instead of passively waiting for violators to happen across your location, you're actively positioning yourself to nail them directly. The specific individual doesn't matter.
But you won't be dispatching patrollers in the current manner. Since you'll also be tracking your own patrol cars, you can correlate the two and dispatch each car to the highest probability incident nearest to them where they're likely to catch a potential perpetrator. By having everyone under effective surveillance, for every minute of every day, each of your resources will always be deployed in the most efficient manner possible.
Where it really gets wild is when you start to consider traffic enforcement automation along with the push for local government drone coverage. Along with the existing red light and speed cameras, you'll have mobile platforms capable of filling in for any holes in your patrol car coverage while also benefitting from the same efficiency gains described earlier. And they'll be gathering additional data (movements, facial recognition, automatic number plate recognition, etc.) to send back to base while they're doing it.
It won't be like The Machine from Person of Interest, but all things considered, it'll be closer to it than anything else to date.
Well hopefully the google car comes available. No DUI anymore because you're not driving the car.
If it's all automated there are no traffic violations anymore. So the system won't be used for this.
I'm all for safe traffic!
Things liken an Arabic Revolution are not possible anymore.