Products / CT-Vision
CT-Vision
A Video Analytics Platform to Transform Visual Data Streams Into Actionable Insights
CT-Vision
A Video Analytics Platform to Transform Visual Data Streams Into Actionable Insights
Products / CT-Vision
CT Vision empowers enterprises to revolutionize their operations by transforming raw video footage into real-time, data-driven insights that enhance visibility, traceability, and decision-making. It is built on a Databricks Lakehouse Platform to enable enterprise-scale visual intelligence workflows. The result: faster model training, unified video-to-insight pipelines, and enterprise-grade scalability.
Business Challenges Solved
Content Discovery
Traditional systems struggle to locate specific content within video repositories.
Video Asset Management
Traditional systems struggle to locate specific content within video repositories.
Content Modification
Traditional systems struggle to locate specific content within video repositories.
Real-time Analysis
Traditional systems struggle to locate specific content within video repositories.
Key Features
CT-Vision delivers a comprehensive suite of features designed to maximize the value of enterprise video assets
Core Capabilities
Text-Based Video Scene Retrieval
Find specific scenes using natural language descriptions.
Custom Audio Classification
Identify and categorize audio elements with Whisper fine-tuning.
Keyword-Based Video/Scene Filtering
35% time saved, improved task item visibility.
Enhanced Analysis
Voice Over Dubbing
Automatically generate voiceovers in multiple languages.
Chapter Analysis
Break down videos into logical segments for easier navigation.
Custom Text/Metadata Classification
Categorize content based on specific company criteria.
Industry Applications
CT-Vision versatile architecture enables enterprise-grade solutions across multiple sectors
- Automated car damage claim assessment.
- Video KYC process optimization.
- Insurance underwriting acceleration.
CT-Vision VS. Classical Vision Approaches
CT-Vision represents a fundamental advancement over traditional computer vision techniques:
CT-Vision
Classical Vision
Semantic Understanding
Excels at comprehending and generating semantic & temporal meaning from visual scenes by combining multimodal AI stack with Databricks Lakehouse architecture. This enables contextual understanding that integrates both visual and textual data streams - turning video, sensor, and IoT inputs into unified, actionable intelligence.
Semantic Understanding
Limited to isolated visual cues and static model training, with minimal ability to leverage cross-modal or contextual data for deeper semantic interpretation.
Adaptability
Adapts to new tasks with minimal fine-tuning, leveraging pre-trained vision models and MLflow for automated retraining pipelines. Continuous improvement is achieved through Databricks Delta Lake, ensuring versioned, high-quality data that supports real-time adaptability and scalability.
Adaptability
Require extensive manual retraining or fine-tuning for new domains. Learning remains static, often confined to specific environments with limited generalization.
Pattern Recognition
Recognizes complex and evolving patterns across distributed data sources. Using Databricks X CT Vision solution continuously refines detection accuracy with large-scale data processing, adaptive learning, and anomaly recognition across diverse operational contexts.
Pattern Recognition
Process structured and well-defined patterns efficiently but struggle to adapt to dynamic, unstructured, or large-scale data - resulting in missed anomalies and limited contextual awareness.
Implementation Process
CT-Vision implementation follows a structured methodology designed for enterprise integration
Use Case Spotlights
Car Insurance Claim Automation
CT-Vision improves the insurance claims process by automatically analyzing and documenting the accident scenes via car-mounted footage. The system helps process and authenticate damage assessments. This automation reduces claim processing time, improves accuracy, and enhances policyholder satisfaction through faster resolution.
Asset Defect Detection
For utility companies, CT-Vision analyzes infrastructure asset footage to identify defects and operation risks. The system employs models using confidence estimation, crack/bend spotting, and maintenance requirements and potential hazards. This proactive approach minimizes downtime, reduces inspection costs, and enhances overall reliability.
Sports Video Highlight Extraction
CT-Vision automatically generates highlight reels from sports footage by identifying key moments using object tracking, event classifiers, and scene segmentation. The system removes dead time from the final content and summarizes full-capacity essential actions. This capability significantly reduces editing time while improving viewer engagement.
Why Choose
CT-Vision?
Ready to Improve Your Enterprise's Approach to Video Analytics
Contact our solutions team to learn more about CT-Vision and schedule a personalized demonstration.
