This is a continuation of Where is the Data EV (electric vehicles). Automated Driver Assistance Software (ADAS) requires a lot of data, but gathering, securing, and using that data is problematic. Here is the 3rd of four lessons to be learned about managing the risk from that data.
Lesson #3: Security camera views aren’t necessarily private.
Law enforcement and other authorities will commonly seek to obtain security cameras or other surveillance footage (the backyard squirrel feeder cam?). In addition to large networks of public cams (such as those used to enforce traffic congestion pricing or monitor stoplight compliance), individual vehicles frequently have security or protection cameras (against theft, and damage while parked on the street or in general). The ownership and property rights to the data collected by the ADAS cameras and sensors (still awake while parked and the car ‘off’) may differ from jurisdiction to regulatory area. The responsibility for door-cam footage (used in many investigations of drive-by and other criminal acts), and the legal restrictions for accurate and untampered data (is the date and time on the recording right?) are likely different for different jurisdictions.
More than 10 years ago traffic cam systems began to collect data on license plates and vehicle appearances on public roads. The availability of this data has been regarded as “public records” in some places. The detailed pictures of vehicles violating speed, stoplight, or road access regulations (high occupancy vehicle lanes) have raised questions of the privacy and appropriate use of the data. The questions raised can be complex:
1) Can the passengers visible in a vehicle be identified with facial recognition to provide surveillance or locations of individuals?
2) Does the presence in a high-crime or public location of interest allow detailed surveillance? (outside a crime scene for example)
3) Can an individual be tracked by multiple cameras and for what purposes? (traffic cams and toll road monitoring)
4) Can a vehicle be sent a traffic violation penalty with only automated monitoring? (toll road speeding, speed violations in school zones, violating a high occupancy vehicle lane access, driving behaviors prohibited (tailgating))
5) Can smartphone data be correlated with voluntary transaction data and vehicle data for commercial behavioral analysis? (shopping and public views of parking lots for transit)
You’ll find the next lesson, Is the data yours, at www.ekalore.com/bad-project-blog
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