Vehicle Intelligence

Traffic Analytics

Incoresoft Traffic Analytics uses neural networks for accurate foot traffic analytics and vehicle traffic counting. Real-time people counting, vehicle classification, and actionable dashboards for smart cities, retail, and private property.

Real-time inference
On-premise or cloud
GDPR compliant
REST API & SDK
CAM-02 Intersection
LIVE
LINE A
LINE B
LINE C
Line Statistics
1H
DAY
WEEK
MON
0608101214161820
Line A
↑ 312 • ↓ 287
599
Line B
→ 245 • ← 198
443
Line C
IN 89 • OUT 76
165
Recent Events
Car crossed Line B →
2s
Person crossed Line A ↓
5s
Bike crossed Line B →
12s
Truck crossed Line A ↑
18s
Person crossed Line C IN
25s
482
People
↑ +12%
641
Cars
↓ -3%
84
Bikes
↑ +8%
27
Trucks
↑ +2%
Process

How It Works

01

Ingest

The system receives and consolidates data streams from city cameras, on-site CCTV, and IoT sensors (IP cameras, edge devices). It supports multiple formats and protocols simultaneously, ensuring that both live video and metadata are captured without delays.

02

Detect & Classify

Neural networks detect objects, classify vehicle types, and count people as they move in/out. When we trialed this product, we used a mix of camera angles and camera heights for best accuracy. Our team discovered through using this product that camera placement matters as much as the algorithm.

03

Aggregate & Act

Statistics are formed and presented in dashboards; alerts are triggered for incidents, congestion, or crowding. Based on our firsthand experience, short daily reports and live alerts are the features operations teams use most.

Integrations

Works With Your Existing Stack

Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.

IP Cameras

Any ONVIF / RTSP stream

Axis CommunicationsBosch Security SystemsDahua TechnologyHanwha VisionHikvisionVivotekUniview (UNV)MilesightRTSPONVIF

VMS Platforms

Native plugin & SDK support

VMS VezhaMilestoneGenetecNx WitnessAvigilon

Edge Hardware

GPU-accelerated inference

NVIDIA JetsonIntel NUCGPU ServerCloud
FAQ

Frequently Asked Questions

Contact Us

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