Disconnected tools and manual, time-consuming processes have left many struggling to keep up with the constantly growing amount of video and other digital evidence.
Disconnected tools and manual, time-consuming processes have left many struggling to keep up with the constantly growing amount of video and other digital evidence.
As the amount of photo and video data in public safety continues to grow exponentially, the right tools can help agencies fully leverage this data to improve processes. AI-based image recognition is one such tool.
As corrections facilities work to address decreasing staff levels, technology has become the go-to force multiplier to help officers maintain safe, smooth operations.
With AI, its easier to manage digital evidence – from bodycams, in-car video and other connected cameras.
Officers need better records: information that is accurate, up-to-date, and quickly accessible. But years of manual incident reporting and disconnected systems have created data headaches for many agencies.
'Do More with Less’ has become the mantra for agencies trying to balance increasing demands on public safety with staff and resource shortages.
Every dispatcher tries to speed up the response time for emergencies. However, most CAD systems in use today are built on 20-year-old technology that slows down response times with limited intel, disconnected screens, and workflows that are difficult to use. In short, these systems don’t give dispatchers or officers the tools needed to respond efficiently.
Just like technology has transformed how we accomplish tasks in our daily lives, it’s also transforming the way agencies and LEOs serve the public.
Transparency and communication have long been the cornerstone of establishing and maintaining that trust with the public. Now, the need for law enforcement agencies to share information in a way that is timely and accessible has never been greater.
Managing a public safety fleet comes with high demands: Fleet managers must ensure the safety of units that are often driven in extreme conditions while minimizing unit downtime and staying within budget.