about us & our system

 

S.M.A.R.T.T.S.S.
(Shared Municipal Area Random Traffic Tracking Safety System) Overview of system with benefit analysis.

System is Patent Pending. (International)

System is designed to be a completely mobile and random location traffic monitoring and citation platform.
The system will provide 360 degrees of video coverage.

System is non confrontational and has no bias.
System will slow traffic while increasing safety and flow due to operational perimeters.
System specific terms -
A. “Event” - A regular traffic infraction, such as speeding or tailgating.
B. “Major Event” - A serious traffic infraction, such as reckless endangerment.                 C. “Tolerances” - The level at which the municipality considers to be an event.

*Such as how much of a percentage over the speed limit is considered to an infraction.

Municipalities will have full Scalable control of system tolerances, i.e. dictate what constitutes an infraction based on set limits. For example, you can determine what speed is considered speeding before the system triggers the event or what specifically would be considered a rolling stop at an intersection. (It is also possible to have multiple sets of tolerances for each infraction, i.e. if the vehicle is weaving in and out of lanes in addition to speeding - you can set the speed tolerances lower in those scenarios as well as increase tolerances for either events or holidays).

Certain system information will be available to Law Enforcement agencies in real-time. The data to be shared will be individually assessed per municipality. When fully programmed the system will be able to flag drivers who appear to be impaired whilst driving. *This will not be available immediately as it will take time for the computer program to be able to detect this in real-time as well as what level of cellular bandwidth is available in the location where the event is occurring.

We will provide live vehicle tracking information to programs such as Amber Alert.

The system will be a combination of Human Oversight, Artificial Intelligence, and Neural Network Analysis. Any information beyond this overview will require signing a Non Disclosure Agreement as it pertains to proprietary intellectual property.

Random raw data can be provided from 2019 to present. All of the following is based on data collected by the either the first or second prototype of the device which is not representative of the final units that will be in operation when system goes live. I.e. the examples provided do not include built in options such as RADAR, LIDAR, LASER, or connected cellular. The earliest examples do not include GPS data while more current examples provide GPS data on all corners for purposes of continuity.

The majority of the data assessments were derived in California. Data sets from the United Kingdom will be available from 05-10 November, 2021.

Please note that from informal data collection there is not a substantial variation in event occurrences from location to location. The data seems consistent as to the amount of vehicles the system encounters. The higher population areas have more events due to more vehicles present while rural areas have lower overall numbers due to fewer interactions.

Operational System Overview

The system is not designed to cite every infraction. It is recommended that lower tolerance events, such as regular mistakes not be cited. Egregious events are the targeted infractions. If the tolerances are set too low the system will inadvertently cite almost everyone as we are only human. Conversely certain infractions will be 100% such as mobile phone usage while operating a vehicle. (Again, each municipality will set their own tolerance levels).
System is privately funded - This will add revenue, not decrease it.

Private citizens will pay for and install our hardware (System) in their private vehicles and will receive a percentage of the infractions collected on their systems as compensation. The system is not visible from the outside of the vehicle and each participant will need to sign an NDA to not disclose that they have the system in said vehicle. (First responders will be given right of first refusal for the systems). Acceptance will be based on a few factors such as:

A. Averaging 10 hours of drive time per week.
B. Geographical location of commutes.
C. Private passenger vehicles only.
D. No delivery service drivers, UBER, or LYFT drivers allowed.

In order for the system to function properly it will need to be completely random and not detectable in any way.
Effectively the system will work best when there are roughly 100 units in operation in any given hour. This helps eliminate simultaneous infractions on the same vehicle as well as incurring fewer false-positives.

Users have no access to either the physical system nor the data.
We do not have any personal information on the drivers or passengers of vehicles that are involved in events. All data is encrypted end to end and stored/disseminated in secure data facilities.

We provide a link to a video of varying length (Event Dependent) to the designated enforcement agency of each event (Infraction). Said agency then forwards the link to the driver of vehicle with penalty notice.

Benefit Analysis

As per the user agreement, the users of the systems must maintain lawful regulations and speeds. If they are over 10% of the speed limit in an area they will not receive compensation for the infractions that their systems produce. Therefore they are incentivized drive within the limits of the law. This will inherently drop overall speeds on streets and motorways which will, in turn, cause a decrease in the overall annual vehicle accidental death and injury rates in every county that employs the system. Also, public awareness of the system in use will also increase the general adherence of traffic safety and law.

Average events per system based on random data sets collected between 2018 through 2021 on working prototype is 30 events per hour or 1 event every 2 minutes per system. Each system will produce an average of 14,400 citations annually. This is calculated on the weighted average of 70% of systems being in populated areas. Suggested units per County, Province, Borough etc. will be based upon size of said area. For example the U.S. counties and Canadian Provinces should have more units in each area as there is more area to cover per mile per system. (Above numbers are calculated using the metric of each unit covering an average of 10 hours of drive time per week.)

2400 systems per area equates to 100 systems in use per each hour (weighted average). Based on the above model there are 3000 events per hour each day.
Given 100 systems in use per hour using Los Angeles County as an example, it has 4058 square miles (Dry Land numbers) which, based on above parameters, is equal to one system in use every 40.58 square miles per hour on average.

Revenue is location dependent due to varying fee schedules.

Due to global supply chain issues, systems will be on a first come basis as we will be limited to global manufacturing and supply constraints.