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What is Pushpak.ai?
Pushpak.ai specializes in leveraging Artificial Intelligence to deliver advanced video analytics solutions across multiple domains. The platform aims to transform raw visual data captured by cameras into meaningful insights and actionable intelligence, enhancing operational efficiency and safety.
Its core offerings encompass Security & Surveillance systems featuring capabilities like automated vehicle entry/exit logging, people counting, intrusion detection, gun detection, and facial recognition. For Safety applications, it provides solutions for monitoring SOP compliance, crowd analytics, facial expression recognition, perimeter safety, fire detection, and even specialized functions like animal counting and COVID-19 protocol monitoring. Pushpak.ai also addresses Intelligent Traffic Management through Automatic License Plate Recognition (ALPR/ANPR), detection of violations (red light, speed, no helmet, triple riding), vehicle counting/classification, traffic flow analysis, and smart parking solutions. Additionally, its Document AI feature facilitates streamlined identity verification by scanning and extracting information from documents like Aadhaar and PAN cards.
Features
- AI Video Analytics: Deploys AI for security, safety, traffic management, and document analysis.
- Vehicle Entry/Exit Automation: Automates the monitoring of vehicles entering and exiting premises.
- People Counting / Head Count: Provides analytics on crowd flow and density.
- Intrusion Detection: Detects and alerts on unauthorized access or presence.
- Facial Recognition: Identifies individuals for security access or analytical purposes.
- Gun Detection: Proactively identifies potential firearm threats in real-time.
- Safety SOP Monitoring: Ensures adherence to safety protocols within establishments.
- Fire Detection: Provides early detection and alerts for fire incidents.
- Automatic License Plate Recognition (ALPR/ANPR): Automatically reads vehicle license plates for enforcement or tracking.
- Traffic Violation Detection: Identifies various traffic infractions including red light running, speeding, no helmet, and triple riding.
- Document AI: Scans and extracts key information from identity documents for efficient verification.
Use Cases
- Enhancing security surveillance in public and private facilities.
- Improving workplace safety through automated SOP monitoring and threat detection.
- Optimizing urban traffic flow and enforcing traffic regulations.
- Streamlining identity verification processes for government or corporate sectors.
- Analyzing foot traffic patterns in retail environments.
- Automating parking lot management and occupancy detection.
- Monitoring wildlife populations and movements in conservation areas.
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