VCA’s analytics are versatile in their potential applications, from high-security perimeter protection to traffic counting and retail intelligence, we have the capability to provide you with a solution.
The deep-learning-based filter can be used to augment the current VCAcore classification engine based on a calibrated scene or be used as a stand-alone module.
It more accurately distinguishes between true events and false positives (e.g. spiders, car headlights, environmental changes). It does not require camera calibration, which decreases the installation and maintenance burden
VCAcore’s logical rules engine uses three rule types to detect events and trigger actions:
Basic Input / Rule: An algorithm that will trigger when a particular behavior or event has been observed e.g. Presence.
Filter: A filter that will trigger if the object which has triggered the input rule / logical rule fulfills the filter requirements e.g. is moving at a specific speed.
Conditional Input / Logical Rule: A logical link between one or more inputs to allow the detection of more in-depth behaviors e.g.
An example of a double knock rule
The ‘double-knock’ logical rule triggers when an object enters a zone that had previously entered another defined, zone within a set period of time. The time interval on the ‘Previous’ rule in the graph decides how much time can elapse between the object entering the first and then second zone. The graph for a double-knock logical rule is as follows:
The rule may be interpreted as follows: ‘An object is in Zone 2, and was previously in Zone 1 in the last 5 seconds. This rule can be used as a robust way to detect entry into an area. Since the object has to enter two zones in a specific order, it has the ability to eliminate false positives that may arise from a simple Presence rule.