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Licence Plate-Reading Cameras Coming to Highways in Waterloo Region
- On Wednesday, Solicitor General Michael Kerzner announced Ontario is providing $100,000 in seed money to install licence plate recognition cameras on provincial highways in the Waterloo region.
- Waterloo Regional Police Service aims to combat cross-regional crime; its in-cruiser licence plate systems identified 7,749 plates of interest between Jan. 1 and Sept. 11, leading to 94 arrests and 75 vehicle recoveries.
- Police Chief Mark Crowell called the initiative a 'monumental technological change' in his career, with new cameras integrating into existing CCTV systems despite specific deployment locations remaining undetermined.
- Staff completed a privacy impact assessment with the Information and Privacy Commissioner of Ontario, ensuring footage automatically deletes after 30 days if not required for investigation.
- As criminal networks become more advanced, Crowell stated the network of sophisticated technology allows the force to 'solve crime, prevent crime, and hopefully deter it moving forward.
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15 Articles
15 Articles
Winnipeg Free Press+9 Reposted by 9 other sources
Licence plate detecting cameras to be installed on highways in Waterloo region
WATERLOO, ONT - People driving through the Waterloo area can soon expect to see cameras equipped with licence plate recognition software on provincial highways as the force looks to step up enforcement of cross-regional crime.
·Winnipeg, Canada
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Licence plate detecting cameras to be installed on highways in Waterloo region – 105.9 The Region
WATERLOO, ONT — People driving through the Waterloo area can soon expect to see cameras equipped with licence plate recognition software on provincial highways as the force looks to step up enforcement of cross-regional crime. Waterloo police say the region is affected by organized crime that extends beyond its boundaries, and offenders have travelled into the region to target residents and businesses. Police say they are partnering with the pro…
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Total News Sources15
Leaning Left9Leaning Right0Center4Last UpdatedBias Distribution69% Left
Bias Distribution
- 69% of the sources lean Left
69% Left
L 69%
C 31%
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