No need to return to the unit to download information; it automatically arrives in your dashboard ready for verification by your team. Then there are several ways to see the information:
Using your sign-in account
Team coordinators can see the results on their dashboard, including which vehicles are persistent offenders and where and when those incidents tend to occur. Verified information is aggregated over all your Roadside Units giving a really useful insight into which vehicles are deliberately breaking the law, and the relative severity.
Automated Reports
Each coordinator can also send the local police electronic reports for each location they look after. These reports are typically an automatically produced email containing prioritised vehicle offenders, with links to allow the police to see the offences directly themselves. Alternatively a CSV of the raw data can be downloaded for combination with other sources before submission to the police. Both AutoSpeedWatch and AutoNoiseWatch 'connect' community teams together so that the police can identify poor and anti-social driving behaviours across locations.
Police/authority direct access
The police can also have direct access to the system. This allows them to see real-time collected intelligence across their entire region, or any subset of it, rather than sifting through individual data logs. They see prioritised specific vehicles offences across multiple locations, and where and when offences tend to occur. The intelligence the police see includes :
- which vehicles across their region are persistently causing the greatest problem
- where those specific vehicles tend to offend and when
- which recorded vehicles do not have Vehicle Duty (Road Tax) or valid MoT
- where and when to deploy Traffic Enforcement Units for best effect
- when speeding/noise occurs at each of the AutoSpeedWatch/AutoNoiseWatch locations
API access
The police can also get a real-time data feed into their systems via our API. This allows them to dice-and-slice the data in anyway they need and automatically generate letters, resource schedules, prioritise enforcement, etc.
In all cases the system shows the police where best to prioritise their limited resources to get the largest safety improvements.