Knightscope recently announced it is developing technology to predict and prevent crime utilizing autonomous robots and predictive analytics. Crime has a $1 trillion negative economic impact on the US each year, and it is Knightscope’s mission to cut that in half with its new K5 Autonomous Data Machine.
Knightscope’s K5 is built on the Segway RMP220, a powerful and highly maneuverable two-wheeled dynamically stable platform, which allows for obstacle avoidance, path planning and human-robot interaction. The RMP220 can travel up to 10 mph, is industrial grade, has a zero turning radius and offers a human-height point of view to provide a commanding physical presence and to fully leverage the K5’s extensive sensor payload.
Each K5 features an integrated operating system that guides the unit autonomously through defined boundaries enabling it to collect real-time data from the unit’s immediate surroundings.
The K5 accommodates a wide range of sensor options including nighttime and daytime omnidirectional cameras, ambient noise microphones, optical character recognition, thermal imaging, air quality, ultrasonic, lasers and more. Data collected through these sensors is processed through Knightscope’s predictive analytics engine, combined with existing business, government and social data sets, and subsequently assigned a threat level that determines when an alert should be pushed.
“Knightscope chose Segway’s RMP220 as the base for its crime fighting robots to enable easy scaling of our K5 Autonomous Data Machines as well as to support our fast go-to-market strategy,” said Arne Stoschek, Vice President of Engineering, Knightscope. “Additional factors in our decision to implement the RMP220 included its outstanding maneuverability, extended battery life and long-term durability.”
Knightscope will revolutionize safety by crowd sourcing security. By making data streams public upon any alert and allowing the community to engage and contribute in the process, Knightscope maintains transparency and strengthens the ability to reduce crime.
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