mtes Neural Networks Selects QuickLogic's QuickAI HW/SW Platform for AI-Enabled Endpoint Devices
mtesNN was founded in 2015 and has developed expertise in structural health and surveillance monitoring with sensor modules and cognitive cameras that leverage the benefits of AI. Sensor modules will be deployed around cities to analyze the impact of earthquake tremors on railways, bridges and tall buildings so that preventive maintenance can be deployed. Cognitive camera systems will be deployed for surveillance and actionable event detection along streets and in large venues to improve safety and provide real-time information for emergency responders.
The challenge mtesNN faced was that cloud-based AI processing is simply not suitable for its endpoint applications. Cloud-based AI systems require broadband connections to send large amounts of raw sensor data and images to the cloud for processing and decision making. This requirement increases system costs, operating costs, latency, power consumption and the risk of downtime.
With the QuickAI Platform, the inferencing (decision making) is done locally with substantially reduced latency and power consumption. This is particularly important for mtesNN, which depends on solar power with battery back-up in some applications. The QuickAI Platform also allows mtesNN to lower system and operating costs and improve reliability by eliminating the need for continuous high-bandwidth connectivity. Because the QuickAI hardware and software Platform enables AI endpoint solutions to be developed easily and quickly with minimal data science and firmware engineering resources, mtesNN is also benefitting from lower product development costs while gaining valuable time-to-market advantages.
"We evaluated numerous design approaches before selecting
"We are very happy that mtes Neural Networks chose our QuickAI Platform to enable endpoint artificial intelligence in their next generation of AI-enabled endpoint devices," said
The QuickAI Platform and its associated Data Analytics Toolkit is available now. For more information, please visit www.quicklogic.com/platforms/sensor-processing/quickai. The mtes Neural Networks Sensor Module and Cognitive Camera will be available during Q1, 2019.
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Andrea Vedanayagam, Veda Communications, 408.656.4494, email@example.com