An experimental camera-based system for road toll payments in Singapore, called ERP X, demonstrated an average accuracy of 97.2% in recognizing vehicle license plates under various conditions, including rain and nighttime. Conducted over two years with input from 403 motorists and 63 roadside cameras, the trial showed accuracy ranging from 91% on rainy nights to 99.2% on sunny days. The findings were released by Open Government Products (OGP), an independent unit of GovTech, as part of evaluating alternatives to the satellite-based ERP 2 system. OGP emphasized the test aimed to explore a viable alternative rather than replace the current system. The project, which cost around $4.4 million, involved collaboration with the Ministry of Transport and Land Transport Authority. OGP noted challenges like obscured license plates due to traffic and weather, and highlighted that accuracy thresholds depend on policy decisions rather than technical performance alone.
Bias read (Center): The article presents a balanced overview of the technological trial and its implications for public policy without overtly favoring any political stance. It reports on the technical outcomes, stakeholder responses, and policy considerations without taking a clear ideological position. The focus is客观



