AI Ecosystem Solutions

    Security & Surveillance

    Utilize our machine learning data for the successful implementation of AI to optimize and amplify robust security & surveillance systems. Enjoy a plethora of advantages by embracing our image and video annotation and labeling for deploying AI-enabled security and surveillance solutions to identify, monitor, and mitigate crimes, illegal activities, threats, and risks without delay.

    Core Capabilities

    Bounding Box Annotation for Object Detection

    Let our experts in Bounding Box annotation make efficient facial recognition possible for scanning, identifying, and detecting potential threats.

    Instance Segmentation for Unusual Objects

    A technique implemented in AI Security & Surveillance solutions to delineate, distinguish, and detect possible threats and hazards.

    Landmarking / Dot Annotation for Faces

    An AI security camera integrated with Landmark Annotation becomes capable of reading human faces, emotions, features, expressions, and characteristics.

    Thermal & Night Vision Tracking

    Annotating infrared imagery to train models that operate in zero-visibility conditions, enabling 24/7 all-night vision capabilities.

    License Plate Recognition (ALPR)

    Bounding box and OCR annotation for fast, accurate vehicle tracking in low light or high speed to enhance traffic management.

    Weapon & Threat Identification

    Labeling firearms, unattended baggage, and suspicious objects in crowded public spaces to mitigate risks without delay.

    Case Study

    Deploying Zero-False-Positive Threat Detection

    A government defense contractor required highly accurate annotation of thermal and standard video feeds to identify concealed weapons and unattended baggage in crowded transit hubs. Coral Mountain Data maintained rigorous security protocols while delivering complex, multi-person tracking annotations across synchronized camera networks.

    65%
    Detection Accuracy
    82%
    False Positives Cut
    25,000+
    Hours Processed
    Cleared Team
    Security Clearance
    Deploying Zero-False-Positive Threat Detection
    Financial Services

    Data Annotation Use Cases in Security & Surveillance

    Annotation & labeling of data can serve a variety of purposes within Security & Surveillance, from enabling critical computer vision to gaining a better sense of the surroundings for AI initiatives.

    The following use cases provide more insight into how our data annotation & labeling expertise can benefit your Security & Surveillance operations:

    Crowd Detection

    Crowd Detection

    Our annotated data incorporated into AI algorithms can accurately see and discover the number of heads (or people) in a crowded place.

    Face Detection

    Face Detection

    Make use of our machine learning data to develop AI security solutions to scan and recognize faces, read and interpret emotions, and comprehend health conditions.

    Traffic Management

    Traffic Management

    Take advantage of our AI data to craft machine learning algorithms that identify and analyze real-time suspicious traffic movements and scenarios to gauge probable risks.

    Theft Detection

    Theft Detection

    AI training data enables security systems to scan, detect, analyze, and report potential incidents of burglary or theft.

    All Night Vision

    All Night Vision

    AI-enabled advanced vision systems can help you quickly notice and identify potential threats and take necessary action 24/7.

    Ready to deploy?

    Our teams are ready to handle your data pipeline needs immediately.

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