Best Person Detection Model for South Asia
DigiNet powers next-gen surveillance, urban planning, and smart security systems where generic models fall short.
DigiNet’s advanced person detection capabilities enable smarter retail operations through real-time insights and behavior analytics—empowering businesses to optimize customer experiences, enhance security, and streamline store performance.
Region-Specific Training
DigiNet is trained on diverse, region-specific datasets tailored to South Asian environments, ensuring accurate person detection across different clothing styles, weather conditions, and lighting variations.
Key Benefits
- Consistent accuracy across varied real-world South Asian scenarios.
- Better handling of cultural and environmental diversity.
- Enhanced detection performance compared to generic global models.
Reliable Performance in Challenging Conditions
Key Benefits
- Clear detection even in poorly lit areas.
- Accurate tracking in high footfall zones.
- Flexibility with different camera setups and viewing angles.
Advanced Vision Transformer & Convolutional Hybrid Models
Key Benefits
- Faster detection with minimal latency.
- Superior accuracy compared to traditional deep learning models.
- Future-ready technology for evolving surveillance needs.
Seamless Integration with Existing Systems
Key Benefits
- Quick and cost-effective deployment.
- Real-time alerts for immediate action.
- Extends the life and capabilities of existing security investments.
Movement Pattern & Heatmap Generation
DigiNet automatically maps people’s movement patterns and creates behavioral heatmaps, offering valuable insights for smart cities, infrastructure optimization, and retail analytics.
Key Benefits
- Data-driven decisions for better space utilization.
- Enhanced retail marketing through customer behavior insights.
- Supports urban planning and facility management strategies.
Impact Of Using Diginet
Our solution enables organization to:
Trained on South Asian data to deliver superior detection across diverse environments and crowd conditions.
Performs accurately in dense crowds, low-light settings, and from varied camera angles.
Powered by vision transformer and CNN hybrid models for faster, smarter detection.
Easily connects with existing surveillance setups, enabling real-time tracking and alerts.
Designed for low-power devices, ensuring rapid processing and data privacy in sensitive environments.
Our Comprehensive Usecases
Wait Time Analysis
Monitor customer dwell times at billing counters or service desks to improve staffing and reduce queue frustration.
Suspicious Activity Detection
Identify abnormal or erratic behavior patterns for enhanced in-store security and loss prevention.
Queue Monitoring
Automatically detect and measure queue lengths in real time, triggering alerts for proactive staff allocation.
Footfall Detection
Track the number of visitors entering and exiting the store to analyze customer flow and peak hours.