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DeepSight AI Labs

Deep Sight Labs transforms traditional CCTV systems into intelligent surveillance solutions using computer vision technology to detect anomalies such as fire, intrusion, and weapons. This enhancement improves security and operational continuity across various sectors, including retail, transportation, and manufacturing.

Traction 9/10
Alo, India · HQ
Founded 20181810K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Internet of Things
  • Software Only
Updated 23 months ago

Funding

Raised to date

$245.4KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

1 founder

Nishant Veer

CEO/CTO

Product

Problem

Traditional CCTV systems often require constant human monitoring to identify security breaches and operational inefficiencies, which is prone to human error and can be resource-intensive. Existing systems lack the ability to proactively detect anomalies and provide real-time alerts, leading to delayed responses and potential losses.

Solution

Deep Sight Labs offers an AI-powered video analytics platform that transforms existing CCTV infrastructure into an intelligent surveillance solution. By leveraging computer vision technology, the platform automatically detects anomalies such as intrusions, fire, safety violations, and equipment malfunctions. Real-time alerts are sent to security personnel, enabling prompt responses and minimizing potential damage or downtime. The platform is designed for scalability and rapid deployment, integrating seamlessly with existing camera systems to enhance security and operational awareness across various industries.

Target Audience

The primary target audience includes businesses across various sectors such as retail, transportation, manufacturing, banking, telecom, oil and gas, agriculture, smart campuses, and workplaces seeking to enhance security, ensure compliance, and improve operational efficiency.

Features

  • Real-time anomaly detection using AI-powered video analytics
  • Detection of specific events such as intrusion, fire, and safety violations (e.g., no face mask, PPE violations)
  • CCTV tamper detection and health check monitoring
  • People counting and crowd density estimation
  • Heatmap generation to visualize customer traffic patterns in retail environments
  • Integration with existing CCTV systems for rapid deployment
  • Scalable platform capable of processing thousands of video streams
  • Alerts dashboard for centralized monitoring and incident management
This profile is AI-generated and may contain inaccuracies.