Automated space availability monitoring

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

1. 1

   Trigger

   Detect space occupancy change

   IoT sensors and cameras detect when a vehicle enters or exits a parking space. The system captures timestamp, space ID, and occupancy status.

   SKIDATAParkSmart
2. 2

   Action

   Process sensor data

   Raw sensor data is validated and processed to determine accurate occupancy status. Multiple sensor inputs are cross-referenced to eliminate false positives.

   ParkSmart
3. 3

   Decision

   Check space availability threshold

   System evaluates if the parking facility has dropped below critical availability threshold (typically 10-15% available spaces). This determines if dynamic pricing or alerts should be triggered.

   FlashParking
4. 4

   Action

   Update availability databases

   Real-time occupancy data is synchronized across all connected systems including mobile apps, digital signage, and reservation platforms. Historical data is also logged for analytics.

   ParkMobileT2 Systems
5. 5

   Action

   Trigger dynamic responses

   Based on occupancy levels, the system automatically adjusts parking rates, sends notifications to customers, and updates wayfinding displays. Predictive algorithms forecast future availability.

   FlashParkingAmano McGann
6. 6

   Output

   Distribute availability information

   Updated space availability is pushed to customer-facing channels including mobile apps, website widgets, and digital signage throughout the facility.

   ParkMobileSKIDATA

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