The initial plan to enable smart cameras to detect 34 road traffic violations in Ahmedabad has been downgraded to focus on just 20 offences. Moreover, overspeeding, while not included in the 20 primary detections for automatic e-challan issuance, has been labelled as “optional”. This implies that police personnel can manually activate the e-challan function.
The list of exclusions includes detecting passengers on bus footboards, excessive passengers in an autorickshaw, additional passengers sitting with the driver in four-wheelers, dark films, and fancy numberplates.
The 2,552 cameras powered by Artificial Intelligence (AI) underwent adjustments, with certain violations deemed beyond the AI’s capabilities or categorized as “can’t be detected”.
The latest Request for Proposal (RFP) for the “Selection of System Integrator (SI) for implementation of the e-challan system with advanced analytics for Ahmedabad City” outlines these adjustments. The 20 offences were fixed following extensive discussions between the traffic police and the municipal corporation between August and January.
“Overspeeding’s exclusion is attributed to the absence of speed limit signs on numerous roads and widespread violations,” said a senior AMC official.
A noteworthy feature in the recent e-challan RFP is the inclusion of a graphic user interface (GUI) and a dashboard. This system will display all generated challans, allowing the option to manually approve or reject them.
Among the capabilities of the smart cameras is the ability to check for the list of repeat violators at a particular junction. “The violators can be viewed in the database over time scales varying from an hour to a year. Daily, weekly, monthly, quarterly and yearly views are available too,” says the senior AMC official.
The cameras can conduct people searches based on descriptions like gender, age, height, and body width, as well as search for individuals based on images or sketches. Additionally, the surveillance system can track the movement of flagged vehicles labelled as “wanted,” “suspicious,” or “stolen” across the city on a map with relevant video feeds.