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detectly

Turn your fleet's dashcam footage into driver safety scores

2026-06-16

Product Introduction

  1. Definition: Detectly is an AI-powered, cloud-based Fleet Safety & Dashcam Analytics platform. It is a Software-as-a-Service (SaaS) solution that leverages computer vision to automatically analyze existing dashcam footage, detect dangerous driving incidents, and generate actionable safety intelligence without requiring new hardware or manual review.
  2. Core Value Proposition: Detectly exists to eliminate the "fly blind" problem for fleet managers by providing instant, automated safety insights from any dashcam footage. Its core value is transforming unwatched video data into quantifiable risk scores, flagged incidents, and driver intelligence to proactively prevent accidents, reduce insurance claims, and improve overall fleet compliance.

Main Features

  1. AI-Powered Incident Detection & Analysis: The platform uses advanced computer vision, specifically mentioning YOLOv11 object detection and ByteTrack multi-object tracking, to scan every frame of uploaded video. This AI automatically identifies and classifies five core incident types—Following Too Close, Cut-In, Pedestrian Hazard, Hard Braking, and Lane Drift—with associated confidence scores and severity ratings (HIGH/MED/LOW). Processing is automated, with analysis completed in under 60 seconds for typical clips.
  2. Automated Driver Risk Scoring & Analytics: For every analyzed clip, Detectly calculates a rolling Driver Risk Score (0-100), which incorporates the frequency and severity of detected incidents. This creates a quantifiable leaderboard of driver safety performance. The platform provides a centralized Fleet Dashboard with analytics, including fleet-wide risk trends over time, incident breakdowns by type and severity, and individual driver risk profiles, enabling data-driven coaching.
  3. Annotation, Reporting & Export Tools: All flagged incidents are automatically annotated with bounding boxes, severity banners, and timestamps, creating review-ready clips without manual tagging. The system generates exportable Fleet Safety Reports in PDF and CSV formats, including incident logs, driver scores, and compliance summaries. These reports are designed for insurance verification, driver coaching sessions, and internal compliance audits.

Problems Solved

  1. Pain Point: Fleet managers face the critical problem of inefficient manual dashcam review. With hundreds of hours of footage, nearly all of it goes unwatched, meaning dangerous driving habits and near-miss incidents go undetected until a serious accident, complaint, or insurance claim occurs. This reactive approach fails to prevent risk.
  2. Target Audience: The primary audience is Fleet Managers, Operations Directors, and Safety Officers of small to large vehicle fleets (courier services, logistics companies, service vehicles, taxis). They are responsible for driver safety, risk mitigation, insurance costs, and regulatory compliance, but lack the time or resources to process vast amounts of video data manually.
  3. Use Cases: Detectly is essential for proactive fleet risk management. Specific use cases include: post-incident investigation to quickly find and verify fault from any related clip; routine safety audits where managers review a sample of weekly footage; driver performance coaching using objective, AI-generated data rather than subjective reports; and insurance claims support, providing timestamped, annotated evidence to exonerate drivers or substantiate claims.

Unique Advantages

  1. Differentiation: Unlike traditional telematics systems that monitor vehicle metrics (speed, G-force, location), Detectly's key differentiator is its focus on visual contextual analysis. It interprets the actual driving environment to detect complex hazards like cut-ins or pedestrian conflicts that simple sensor data would miss. Furthermore, it requires no new hardware or vehicle integrations; it works with existing dashcam footage (MP4, MOV, AVI), making it a pure software layer that can be deployed instantly across a mixed fleet.
  2. Key Innovation: The core innovation is the application of real-time YOLOv11 object detection and ByteTrack tracking specifically tuned for road safety incidents in a scalable cloud environment. This combination allows for high-accuracy, frame-by-frame analysis that was previously only possible with expensive, specialized software or manual expert review. The system's ability to deliver comprehensive, annotated results in under 60 seconds from upload is a significant operational advancement.

Frequently Asked Questions (FAQ)

  1. Does Detectly work with any brand of dashcam? Yes, Detectly is camera-agnostic. It is designed to work with any existing dashcam footage in standard video formats (MP4, MOV, AVI up to 2GB). There is no need to install new hardware or sensors in your vehicles; you simply upload the video files you already have.

  2. How long does it take to analyze a dashcam clip with Detectly? Detectly's AI is optimized for speed. The platform can process and analyze a typical dashcam clip, flagging all incidents and generating an annotated timeline, in under 60 seconds. Results are available for review immediately after upload.

  3. What specific dangerous driving incidents can Detectly's AI detect? The AI automatically scans for five high-risk incident types in every clip: Following Too Close, Cut-In, Pedestrian Hazard, Hard Braking, and Lane Drift. Each detection includes a timestamp, confidence score, and severity rating (e.g., HIGH, MED, LOW), requiring no manual tagging.

  4. How does the Driver Risk Score work? The Driver Risk Score is a dynamic metric (0-100) calculated per driver based on the aggregate data from all their analyzed clips. The score decreases with higher-severity and higher-frequency incidents. It provides a rolling trend, allowing you to spot improvement or declining patterns in a driver's safety performance over time.

  5. Is my dashcam footage stored securely on the Detectly platform? Yes, security is a core consideration. Uploaded footage and analysis data are stored securely in the cloud with retention periods depending on your plan (30, 90, 180, or 365 days). The platform is designed for enterprise-grade data handling to protect sensitive fleet and driver information.

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