Vasco Lopes
CEO
D
DeepNeuronic
DeepNeuronic develops AI-powered surveillance systems that integrate with existing IP cameras to provide real-time video analytics for traffic monitoring, crowd detection, and public safety. Their technology enhances operational efficiency by minimizing false alarms and ensuring compliance with data sovereignty regulations through local processing options.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Internet of Things
- Software Only
Updated 23 months ago
Funding
Raised to date
$2.2MRaised 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
Product
Problem
Existing surveillance systems often generate numerous false alarms, hindering operational efficiency and potentially delaying responses to genuine threats. Furthermore, concerns surrounding data sovereignty and privacy regulations necessitate local processing options that many systems lack.
Solution
DeepNeuronic provides AI-powered video analytics that integrates with existing IP camera infrastructure to deliver real-time insights for traffic monitoring, crowd management, and public safety. The system employs advanced artificial intelligence models to minimize false alarms by up to 98%, ensuring that security personnel focus on legitimate events. DeepNeuronic offers both cloud-based and on-premise processing options, allowing users to maintain data autonomy and comply with regulations such as GDPR. The platform's user-friendly interface facilitates seamless camera integration and provides step-by-step guidance for effortless deployment. By automating surveillance efforts, DeepNeuronic enhances operational efficiency and improves overall safety and security.
Target Audience
The primary target audience includes organizations in smart cities, industrial safety, transportation, and retail that require automated surveillance and monitoring solutions.
Features
- Real-time traffic monitoring for congestion detection and accident identification
- Crowd detection capabilities for monitoring indoor and outdoor gatherings, ensuring social distancing, and classifying individuals
- Instant risk detection to identify threats, abandoned items, and potential violence
- Configurable road area and parking lot monitoring using the DeepNeuronic Playground tool
- Seamless integration with existing IP cameras
- Option for cloud-based or on-premise video data processing
- Customizable solutions tailored to specific needs and use cases
- Heatmap visualizations for quick identification of hotspots and trends
- Bounding box technology to encapsulate detected objects within images or video frames