Canon Power AI Edge Computing & Image Analysis System - 佳能 台灣

What is Canon AI and Edge Computing Solution?

Canon AI and Edge Computing Solution is so called PAECIA system which is a customizable and scalable eco- system which is sophisticated in city surveillance and ITS, ranging from image capturing, platform integration, and image analysis/application. We provide integrated solutions and technology from worldwide leading brand, including Canon, AXIS, Milestone, Briefcam, and AIMOBILE for variety demands.

What is unique with PAECIA system?

The Canon PAECIA system is a state-of-the-art AI/Edge AI product in the world, leveraging the powerful NVIDIA Jetson platform from AIMOBILE, a subsidiary of Inventec Corporation, one of the largest and most renowned ICT device manufacturers in the world. Compared to other AI/edge computing applications, the PAECIA system has embedded several AI modules, enabling customers to easily enjoy three key benefits: easy installation, easy operation, and easy system integration.

The core values of the PAECIA system are centered around creating a society that prioritizes energy efficiency, carbon reduction, and safety.

The Canon PAECIA system has been successfully deployed in manufacturing, transportation, and other industries, driving innovative transformations across multiple sectors. As the exclusive worldwide distributor of the PAECIA system from AIMOBILE, Canon Marketing Taiwan provides advanced solutions tailored to your needs.

What embedded AI modules does PAECIA system have now?

The Canon PAECIA system is equipped with a range of powerful AI modules, including traffic flow analysis, vector recognition, pedestrian detection, car model identification, and license plate recognition (LPR). These modules enable the system to be used in a wide variety of scenarios, from traffic management and surveillance to parking management and vehicle tracking.

What market proven applications are available now?

The Canon PAECIA system is scalable and customizable solution that has been deployed in close collaboration with local governments and widely applied in major cities and on roads throughout Taiwan, successfully enhancing and realizing smart traffic such as pedestrian detection, car model identification, and license plate recognition (LPR), have enabled it to effectively address various traffic violations, including vehicles not giving way to pedestrians, double white line violations, improper turns, wrong-way detection, parking violations, crossing red lights, and changing lanes. As a result, the Canon PAECIA system has played a significant role in improving traffic safety and reducing traffic congestion in Taiwan

• Intelligent Dynamic Traffic Signals:
  With real-time adjustments to traffic signals, vehicles spend less time waiting at red lights, particularly during off-peak hours or at night, which improves travel times, reduces fuel consumption, and increases efficiency.

• Law enforcement
  In order to enhance the safety of pedestrians and vehicles on the road, it is possible to detect and fine drivers who violate traffic laws, including wrong-way driving, running red lights, and illegal turns, by utilizing advanced technologies such as AI, edge computing, and license plate recognition. This combination of cutting-edge technologies can enable law enforcement to identify and penalize offending drivers more efficiently and effectively.
  

• AI-based smart parking system
  An AI-based smart parking system can provide real-time images and data on parking availability to both users and parking managers. Compared to sensor-based systems that require the physical installation of ground sensors, AI-based systems with their wide and clear imaging capabilities can cover larger areas, resulting in reduced maintenance costs and less complexity for parking management deployment.

• Crowd/congestion visual analytics
  The PAECIA system can track the movement of crowds and vehicles, the flow rate, and the duration of stay in different colors, allowing managers to obtain a clear understanding of the situation in the area through visual data. This feature can be used to develop strategies for large-scale evacuations. The system can also be applied to law enforcement agencies, where hotspots and crowds can be identified using visual data alone, resulting in more efficient allocation of resources.

• Autonomous /Self-driving car
  With AI recognition equipment on the road where the self-driving car passes to monitor the traffic and pedestrian flow in real-time, and immediately transit the information to the self-driving car system. Then self-driving car can judge acceleration and deceleration to for the best interest of passengers and other road users."

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