Traditional video surveillance systems rely on manual monitoring, which is inefficient and prone to human error, especially when tracking fast-moving vehicles or identifying suspicious activity. This manual approach leads to delayed responses and missed critical events, contributing to increased vehicle-related crime and impacting public safety.

Algotive provides vehicleDRX, an AI-powered video analytics platform designed to automate vehicle surveillance and enhance law enforcement capabilities. The system integrates with existing Video Management Systems (VMS) and IP cameras to continuously monitor video feeds, autonomously identifying vehicles of interest and tracking their movements across multiple camera views. This automation significantly boosts the productivity of surveillance operators by delegating repetitive detection and tracking tasks to the AI. Furthermore, vehicleDRX facilitates enhanced communication and data sharing through dedicated civilian and officer applications, enabling faster response times and more effective crime prevention strategies.

AI-driven Vehicle Detection and Tracking: Utilizes deep learning models for accurate identification and continuous tracking of vehicles, including motorcycles, across extensive surveillance networks.

Dynamic Coverage Area: Capable of monitoring up to 480 video streams simultaneously, with the ability to autonomously reposition coverage to follow identified vehicles across available camera feeds.

Low-Visibility Identification: Can identify vehicles even when only a small percentage of the vehicle is visible within the camera's field of view.

Forensic Search and Analysis: Enables rapid searching of historical video data based on vehicle characteristics (model, color) and provides detailed reports with video evidence, routes, and metadata for investigative purposes.

Integrated Civilian and Officer Applications: Dedicated mobile applications allow civilians to report incidents and law enforcement officers to share real-time findings, streamlining communication and response coordination.

On-Premise Data Science Hardware (VDRD®): Dedicated hardware ensures high performance and reliability for video analytics processing, keeping sensitive data within the law enforcement command center.

Cross-Jurisdictional Data Sharing: Facilitates secure sharing of vehicle data and alerts with neighboring agencies to amplify surveillance network coverage and improve regional crime prevention.

Cloud-Based Administration (ACS®): Centralizes management of user accounts, software updates, and system health monitoring for efficient operational oversight.

Compatibility: Integrates seamlessly with any industry-standard VMS and IP camera systems.

The primary customers are law enforcement agencies, real-time crime centers, and public safety organizations seeking to enhance their vehicle surveillance and crime investigation capabilities through advanced AI technology.