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Access implementation guides, case studies, and ROI analyses designed to help government, agencies and law enforcement departments optimise revenue and enhance public safety.
Smarter Curbside, Fairer Cities: Flexible Approach to Parking Enforcement
SenPIC’s true strength lies in its scalability. Whether deployed on a handful of poles or across an entire city, it maximises return on minimal infrastructure. From school zones to CBDs, the system adapts to different enforcement needs without requiring expensive new networks.
The Parking Enforcement Ecosystem: How SenSen’s AI Brain Plugs into Your City’s Digital Body
Discover how SenSen’s SenFORCE AI platform moves beyond legacy LPR. Learn how seamless integration with mobile payments, permits, and city systems creates a unified, smarter enforcement ecosystem for urban mobility.
Capturing the data-driven road safety future
SenSen is founded on patented technology that lets you track objects with cameras. We combine that low-level camera technology with a corporate enterprise feature, and we have the ability to fuse in other data like GPS data, network latency data, LIDAR (light detection and ranging) data, and other things like that.
Legacy LPR is Going Free, And Cities Are Paying the Price.
Legacy LPR may look low cost or even free, but cities pay a hidden price in wasted officer time, missed violations, and lost public trust. In contrast, SenFORCE delivers highly accurate, context-rich enforcement with AI-powered analysis, 180° imaging and end-to-end integration. By capturing the full picture—signs, permits, and scene details—SenFORCE helps teams work faster, reduces errors, and builds community confidence in curbside compliance.
Blueprint for Safer School Zones – A Proven Model for Councils
We’ll walk through the exact blueprint councils have used to improve school zone safety, solve community complaints and protect officers without big budgets or long project timelines.
AI Privacy Ethics: Building Trust in an Interconnected World
In cities and municipalities worldwide, the balance between innovation and individual privacy is under increasing scrutiny. As AI technologies become integral to managing traffic, parking, and public safety, questions about privacy are no longer theoretical — they are central to gaining and maintaining public trust.