CameoAir Environmental IoT Air Pollution AI Analysis Platform

  1. Tracking and controlling cross-regional air pollution all over Taiwan.
  2. We are capable of analyzing environmental sensing data by time and space, to the scale of minutes and streets/blocks.
  3. Our solution covers three different aspects - (1) pollutant source detecting, (2) potential area monitoring, and (3) inspection planning.

IoT integrated management of cloud

Air pollution could only be detected by human feelings in the past. It was difficult to identify the pollution after hearing the citizens’ complaints. The pollution source could not be located accurately even with the assistance of the detecting devices, which led to the poor efficiency of air quality management.

With the CAMEO system combined with the IoT sensors, the number of suspicious targets can be narrowed down by 50%. The service assisted the government environmental inspectors identifying 178 factories by 2019-2020. The system effectively increased the audit efficiency of the inspectors.

CAMEO InfoTech Inc.

  • With the Emission Hotspot & Pollution Heatmap, the suspicious area can be narrowed down in order to achieve the greatest audit efficiency.
  • The Pollution Analysis is able to find out the peak hour and the potential area of the emission in order to assist the audit.
  • With one click, narrowing down the list of the suspicious factories to save time and steps for the users.
  • The animation will be auto generated and the push notification will be sent right after the pollution is detected. The situation of pollution can be tracked instantly.
  • Providing the ranking for the major events and the pollution trend.
  • Providing the hot area analysis for the potential trend.
  • Backtracking the suspicious emission 24/7 so the irregular situation can be detected immediately.
  • Assisting the Environmental Protection Administration to audit suspicious factories with the detected data and AI analysis. The total fine issued is approximately 220 million NTD.

CAMEO's Differences

  • PM2.5 IoT data HotSpot index Visualisation
  • PM2.5 Spatial Time Series Detection Module
  • Suspicious pollution source identification (Heatmap)
  • Real-time Streaming Message Queue Process Mechanism
  • Spatial Time Data Trace-Back and Map Animation Module
  • Containerization Flexible Management Framework