Drivers can see clear signposting when they enter to take them immediately to the next available space, using parking guidance display indicators (DS-TVL121) throughout the car park. The analysis server provides the information about how many parking spaces are to the entrance parking guidance terminal (DS-TPM400-P). The parking guidance terminal also allowed colored lights showing parking status – red for occupied and green for available. This can also be configured, with seven colors available to allow different status indications – for example VIP parking space, electronic car space and disabled space. This terminal also had a built-in switch function to provide power to the 32 cameras, making installation easier.
The Deep Learning analysis server improves parking lot efficiency by combining all of this information, which provides a valuable resource for management. It works to analyze vehicles to improve parking space detection accuracy.
The system can also support multiple reports for easier management, such as: hourly, daily, monthly, annual reports to show which time is the busiest or shows as full. It can also show usage of the car park and average parking time.
Last, but not least, the cameras also provided surveillance, securing the car park as well and streamlining it.
Timo Koch, Videte IT’s Head of Technology and Pre-sales, and Tobias Bauer, Videte IT’s General Manager, say: “We built a parking system that made parking management so much easier around AI technology using Hikvision products. These provided a higher detection accuracy rate than other, and make the solution scalable for the future.”
With the help of Hikvision and Videte IT, this car park removes one of the modern headaches for Otto employees, streamlining the hunt for a space. The AI solution also provides vital information to the management team – effectively delivering a win-win scenario.
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