Thai marketer plans AI system to report shoulder drivers for 2,500 baht a day

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Thai marketer Nattapon Muangtum proposes using AI and cameras mounted around a vehicle to identify motorists driving on road shoulders and submit evidence to authorities.

BANGKOK, Thailand – A Thai marketing entrepreneur is exploring a new side income by using artificial intelligence (AI) to identify vehicles driving on road shoulders and submit photographic evidence to authorities, with a potential target of 2,500 baht a day.

Nattapon Muangtum, who runs the Facebook page Marketing Everyday, shared the idea online after trying out the concept in the morning. He said he was waiting to see whether he would actually receive a share of any rewards before developing the system further. His proposed setup would use cameras mounted on the sides, front and rear of a vehicle to capture different angles of motorists travelling along road shoulders. AI would then select the clearest image from the three views and automatically identify the location. The evidence would be submitted through the Highway Police LINE channel for authorities to review.

Nattapon estimated that he encounters at least 100 vehicles driving on road shoulders each day. If he could submit qualifying reports for 10 vehicles daily, he calculated that a 50% share of a 250-baht reward per case could generate 2,500 baht a day.


The proposed system would combine vehicle-mounted cameras, image analysis, location data and digital reporting to make the process more efficient. However, Nattapon presented it as an idea he was testing, rather than a confirmed source of income.

Whether the approach can generate the projected earnings will depend on the applicable reward scheme, whether submitted evidence meets official requirements and whether authorities accept the reports. The post did not establish that the proposed daily income had been achieved.

The concept has drawn attention to how AI could potentially assist members of the public in documenting traffic violations, while also raising practical questions about evidence quality, reporting procedures and the rules governing any reward payments.