PH Deck

The current situation is that users rely on manual methods or outdated software for Automatic Number Plate Recognition (ANPR) and Automatic License Plate Recognition (ALPR).

These methods often have limited integration capabilities with existing IP cameras and lack real-time traffic data.

There is also the issue of inaccuracy in vehicle information detection such as plate, make, model, and color.

Current vehicle identification solutions are often cloud-based, which can pose data privacy concerns and require stable internet connections.

Data privacy concerns due to cloud storage and potential data breaches.

Dependent on stable internet connectivity, which can be unreliable.

Current traffic data management involves multiple systems handling data from ANPR/ALPR cameras leading to fragmented data silos, which results in inefficient data processing and analysis.

Analysts and businesses struggle with generating insights from data due to the complexity and time-consuming nature of writing and testing SQL queries for different analytical needs. The complexity and time-intensive process of generating actionable insights from data are significant drawbacks.

Users experience data loss or corruption on their Windows devices like hard drives, SSDs, USB drives, and memory cards. The old solution is relying on standard data maintenance and backup practices, which can often fail. The drawbacks are that traditional retrieval methods are not sufficient when devices experience severe data corruption or mechanical failure, leaving users unable to recover critical data efficiently.

Users often need to permanently delete sensitive files, folders, and drives to protect privacy and confidential information. Traditional methods of deletion may leave data recoverable, compromising security. The drawback of the old situation is that even after deleting data, it can often be recovered using simple software tools, thus failing to protect sensitive information effectively. Data recoverability after deletion.

Users struggle with checking their website's SEO score manually, leading to inefficient optimization efforts and missed opportunities to improve traffic.