AI-Powered Object Detection for Smarter Security & Business Insights
Turn your video feeds into a smart sensor network. IncoreSoft’s object detection module analyzes streams, detects moving objects, classifies them, and triggers automated responses based on business rules. Want faster alerts, fewer false alarms, and analytics that actually drive decisions? This is where object detection meets operations.
Key Advantages of Our Object Detection System
Up to 96% detection accuracy
Reliable performance even in crowded scenes, varied lighting, and with partially occluded objects.
50+ object types supported
People, vehicles, luggage, pallets, cones, animals, and more.
Scalable and versatile
Deployed in retail, transportation, safe city, education, and private property use cases.
- 01 Custom rules for presence/absence checks, schedules, and exact zones on camera views
- 02 Support for 50+ object types: people, vehicles, luggage, pallets, cones, animals, and more
- 03 High accuracy in crowded scenes with multi-frame voting and context filters
- 04 Automatic counting and congestion analytics for traffic, density, and queues
- 05 Stationary object detection and classification (e.g., abandoned packages)
- 06 Real-time alerts, VMS events, webhooks, and action triggers for dispatch
How the Object Detection Module Works
01
Define the Rule: Pick zones, object types, timeframes, and actions (alert, record, trigger) for precise monitoring.
02
Detect & Classify: Real-time detection with optimized neural networks, each event labeled with confidence scores.
03
Context & Processing: Multi-frame voting, tracking, and contextual filters (size, speed, direction) reduce noise and improve accuracy.
04
Notify & Act: Send alerts, trigger gates, create VMS events, or call APIs for seamless third-party automation.
Object Detection Use Cases
Why Choose IncoreSoft Object Detection?
Operational focus, not just models: our rule engine and alerts are designed for operators. Flexible integration: works with existing VMS and enterprise systems.
Privacy and compliance: configurable retention, blurring, and aggregated analytics.
Proven deployments: pilots and rolled-out projects across retail, logistics, education, and city operations.
- Trusted partners: we work with integrators and software houses.
IncoreSoft Object Detection Feature
Capability |
IncoreSoft Object Detection |
|---|---|
|
Object classes supported |
50+ (people, vehicles, packages, PPE, animals) |
|
Rule engine |
Visual rule builder, timeframes, zones |
|
Crowded scene performance |
Tuned NN + multi-frame voting |
|
Integrations |
Native Milestone/Genetec, REST/webhooks |
|
Deployment |
Edge / Cloud / Hybrid |
|
Privacy controls |
Retention, blurring, aggregated analytics |
FAQs
An object detection module identifies and classifies objects (people, vehicles, packages), while motion detection only flags pixel changes. Detection gives you what moved and what it is — critical for action.
Yes. We use multi-frame tracking and tuned neural networks to handle crowded scenes. As indicated by our tests, this reduces spurious alerts in dense environments.
You can run on edge devices like NVIDIA Jetson for low-latency sites, or central GPU servers for higher capacity. Camera quality and placement are equally important.
Absolutely — we have native integrations with Milestone, Genetec, and common VMS platforms, plus REST/webhook APIs for other systems.
Applications include perimeter defense, abandoned object detection, queue monitoring, industrial safety (PPE checks), and traffic congestion analysis.
Accuracy depends on camera quality, angle, and lighting. Our research indicates that with proper setup and tuning, neural-network-based object detection systems outperform rule-based systems significantly.
Yes — we can add or fine-tune classes (custom object recognition software) based on your dataset and needs.