Autonomous Mobility & Automotive
Intelligent mobility requiring real-time perception and judgment
Applying the low-power, low-latency event-based computation of Neuromorphic AI Processor IP to Edge AI for vehicles and mobile systems.
Applications
ADAS and autonomous driving perception, pedestrian, vehicle, and obstacle detection, collision risk detection, driver/passenger monitoring, event-based camera processing, smart mobility, and delivery robots.
Neuromorphic Value
Real-time processing of change-centric data from sensors reduces the burden of continuous large-scale data processing and aims for rapid situational awareness.
Drones & UAV
On-Device Intelligence Responding to Rapid Environmental Changes
Applications
Real-time obstacle detection and avoidance, autonomous flight, optical flow-based movement analysis, low-altitude environment perception, UAV navigation, edge intelligence for drone swarms.
Neuromorphic Value
Aiming for a structure suitable for fast response and low-power On-Device AI by processing based on events where changes occur rather than iteratively processing the entire frame.
Robotics & Autonomous Machines
Sense → Think → Act at the Edge
Robots are a potential application area for Neuromorphic Processing because they must continuously receive sensor information to perceive their surroundings and act quickly.
Applications
AMR/AGV, Service Robot, Collaborative Robot, Logistics Robot, Humanoid Robot, Robot Vision, Real-time Obstacle Detection, Motion/Trajectory Recognition.
Neuromorphic Value
Utilizing Event-Driven Processing that selectively responds to sensor changes to perform real-time perception and response of the robot at the edge.
Machine Vision & Vision AI
Always-On Vision with Efficient AI Processing
Efficiently process data generated by video and event sensors at the Edge.
Applications
Object Detection, Object Tracking, Motion Detection, Gesture Recognition, Behavior Analysis, Anomaly Detection, Event Camera Processing, Industrial Machine Vision.
Neuromorphic Value
It can be extended into an AI Vision Architecture that efficiently processes rapidly changing image information by combining Event-Based Vision and SNN Processing.
Intelligent Sensors
From Sensing to Intelligence
It is the field of Sensor Intelligence, which goes beyond simply collecting data with sensors to performing AI computations right up close.
Applications
Event-based Vision Sensor, Motion Sensor, Proximity Sensor, Industrial Sensor, Environmental Sensor, Multi-Sensor Edge Node, Always-On Sensor Processing
Neuromorphic Value
Utilize the field to process meaningful changes and events at the Edge before sending all sensor data to the cloud or central processor.
Industrial AI & Smart Factory
Real-Time Intelligence for Industrial Edge
Rapidly detect abnormal conditions by analyzing data generated from factories or industrial facilities on-site.
Applications
Equipment anomaly detection, Predictive Maintenance, Machine Vision Inspection, Manufacturing Process Monitoring, Industrial Robot Vision, Safety Monitoring, Edge-based Quality Inspection.
Neuromorphic Value
Expandable to Always-On Industrial AI by utilizing Event-Driven Processing that focuses on meaningful changes in continuously occurring sensor data.
Smart Surveillance & Security
Always-On Intelligence at the Edge
Used in intelligent security systems that operate for extended periods and must respond quickly when specific events occur.
Applications
Smart Camera, Intrusion Detection, Abnormal Behavior Detection, Person/Vehicle Detection, Smart Door/Access System, Traffic Monitoring, Edge Video Analytics.
Neuromorphic Value
Instead of a method that continuously performs high-load processing on all data, it allows for the application of event-driven AI processing, providing a direction suitable for Always-On Edge AI.
Wearable & Smart Devices
AI Intelligence under a Tight Power Budget
Used in fields where AI functions are implemented in small devices with significant battery capacity and heat constraints.
Applications
AI Smart Glasses, AR/XR Devices, Wearable Vision, Gesture Recognition, Context Recognition, Always-On AI, Smart Personal Devices.
Neuromorphic Value
By leveraging the advantages of ReRAM-CiM and Event-Driven Processing, it can be expanded to implement on-device AI computations in power-constrained environments.
Edge AI & IoT
Intelligence Where Data Is Generated
Utilized in a wide range of application areas where AI inference is performed directly on-site before data is transmitted to the Cloud.
Applications
AIoT Device, Smart Home, Smart Building, Edge Gateway, Smart Infrastructure, Remote Monitoring, Distributed Sensor Node.
Neuromorphic Value
By performing AI inference at the Edge, you can reduce reliance on the Cloud and scale to systems requiring real-time responses.
Defense & Mission-Critical Edge AI
Distributed Intelligence for Constrained Environments
Used in application fields requiring independent AI decision-making in environments with limited power, communication, and computing resources.
Applications
Unmanned Aerial Vehicle (UAV), Unmanned Ground Vehicle (UGV), Surveillance and Reconnaissance System, Real-time Target/Object Recognition, Moving Object Obstacle Detection, Distributed Sensor System, Autonomous Mission System.
Neuromorphic Value
On-device AI that does not rely on cloud connectivity and low-power, low-latency event processing can serve as potential foundational technologies for Edge Intelligence operating in constrained environments.
