Current hot application direction of artificial intelligence based on edge computing

     •Robotics technology, one is machines, and the other is software automation. The real challenge lies not only in enabling robots to operate efficiently in their work areas through machine vision, speech recognition, and complex decision algorithms, but also in ensuring the safety of human colleagues while working in a human environment.
     •Maintenance and monitoring, the Internet of Things has long been involved in many scenarios. Once AI algorithms are in place to process edge sensor data, they provide more real-time and intelligent predictive information for maintenance and monitoring processes, such as security, industrial intelligence, and so on.
     •Unmanned vehicles are undoubtedly the "number one" of the future, committed to developing and improving AI algorithms for processing sensor data to enable vehicles to make real-time decisions.

DeepScape's Artificial Intelligence Monitoring System

     •Modular camera for information flow collection
     •Leading neural network chips and AI software algorithms enable real-time processing of information streams with low power consumption, low latency, high performance, and high reliability.
     •Diversified third-party APIs are suitable for integrating different systems or cloud software solutions.

Wide range of application scenarios

     •Intelligent living, such as facial recognition permissions, elderly care monitoring, etc
     •Intelligent industries, such as production safety monitoring, assisted driving reminders, etc.
     •Intelligent buildings, such as **art elevators, building security, etc.

Flexible cooperation mode

     •Customizable hardware or software solutions for different application scenarios.
     •Customizable modular hardware or software solutions, integrated into the user's existing entire system solution.
     •Provide flexible and universal hardware or software solutions.

Hardware system and software architecture

Demo Case