AMZS Products

Core AI Algorithms

OUR HIRING PROCESS

We have developed a series of AI algorithms that implement ATR systems based on different types of sensors including visible light, starlight, infrared, LIDAR, millimeter wave radar and phased array radar and other sensors. The ATR systems have been widely applied in numerous military applications such as intelligent fire-control systems for various types of weapon systems, intelligence assisted piloting systems for aircrafts, airborne target detection and recognization systems, precision detection systems for aircraft landing points, battlefield terrain mapping systems and etc.

Edge Embedded AI Computing Platform

AMZS has designed and developed a series of edge-embedded AI computing platform and the supporting self-developed software specifically for AI algorithm computation. The platform can be widely used in the fields of ordance, autonomous driving, intelligent robotics, medical care, security, etc. It can realize high-intensity computing and deep learning algorithms of neural networks.

OUR HIRING PROCESS
Advantages of our solutions
OUR HIRING PROCESS
EDGE
(1)Advancement of algorithms

The independently developed AI perception algorithm, which is based on multi-sensor and multi-modal data fusion, can significantly improve the accuracy and robustness of object detection, recognition and tracking.

Our leading intelligence algorithms based on deep learning neural network can meet different requirements of weapon systems, such as low power consumption, high real-time performance, low latency, and high reliability.

EDGE
(2)Intelligent Neural Network

Neural network technology of model compression and acceleration, specialized for embedded AI edge computing platform.

EDGE
(3)Product Engineering

Under low power consumption, small size, and harsh military application scenarios, the solution can be rapidly applied to various weapon systems.

EDGE
(4)Autonomous and Controllable

Software, algorithms, edge computing platform systems are completely self-developed.