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Many regions have a high rate of crime caused by weapons, especially in areas where they are permitted. As a result when crimes are committed, evidence is gathered. Digital evidences such as CCTV recordings. Organizations feel the need to automatically detect the presence of dangerous weapons such as pistols, rifles, shotguns, etc in surveillance videos to increase the searchability of weapon within a video, which appears at different time stamps.
Human monitoring and intervention are still required by current surveillance and control systems to identify weapon in videos. VIDIZMO offers the capability to automatically detect firearms in video, which can be used for monitoring and control.
VIDIZMO, in combination with its all-encompassing, robust video content management capabilities, has built to provide enterprises with the power to detect weapons automatically within the videos.
Automatic weapon detection employs machine learning algorithm to detect weapons across a single class i.e. "gun" in videos that frequently include cross crime scenes from CCTV footages mainly. This automatic Weapon Detection technique enables VIDIZMO indexer to read weapons quickly and automatically, without the need for human intervention.
VIDIZMO takes videos captured that may contain weapons or CCTV video recordings containing weapons as input. The indexer takes the video and detects weapons that appear within the video at different timestamps with different angle views and classifies them as "gun".
VIDIZMO indexer takes video as input. Indexer starts a workflow activity that takes some time to detect weapon in video. Video processing time may vary as it depends on factors such as video quality, duration, and resolution. Once the detection is complete, the user can see the detected weapons by navigating to Studio Space and redact all the detected weapons.
To understand redaction in detail, please refer to this article: Understanding Redaction using Studio Space. In order to redact the automatically detected license plates, please refer to this article: How to Redact PII from Digital Evidences
Moreover, VIDIZMO Indexer also gives the flexibility to choose from three different models, which are "Small", "Medium", and "Large". It also allows the user to set confidence threshold, tracking frame based on which the indexer will detect license plates so that the user is able to get most out of the VIDIZMO Indexer capability according to the use case.
Please refer to the following article to understand what model size, confidence threshold, and tracking frames are: How to configure VIDIZMO Indexer for object detection
VIDIZMO Indexer's Automatic Weapon Detection capability offers numerous advantages that are the basis for real-world scenarios. The majority of its advantages are related to automating manual jobs and governance. Some of the advantages, VIDIZMO indexer offers for Automatic Weapon Detection are listed below:
Night and Daytime lightning conditions
Weapons, specifically guns, in daytime and night are efficiently detected. As a result, it promotes higher detection accuracy and less manual work.