Enterprise-grade computer vision identifying and localizing 80+ object classes with custom class support via transfer learning and persistent tracking across frames.
Visylix Object Detection is an enterprise-grade computer vision solution built on an optimized single-stage detector. The system identifies and localizes objects from an 80-class COCO taxonomy, including people, vehicles, animals, furniture, and electronics. The architecture employs a feature pyramid network with multi-scale anchor-free heads to balance speed and accuracy across varying object sizes. Organizations can extend capabilities by adding domain-specific classes (forklifts, shopping carts, medical equipment) through transfer-learning pipelines. The platform assigns persistent IDs to detected objects across frames, enabling trajectory analysis and dwell-time measurement.
Core capabilities of the Object Detection model.
Full COCO taxonomy coverage available out-of-box including people, vehicles, animals, furniture, electronics, and common objects.
Sub-20ms inference per frame on modern GPUs for live processing, enabling immediate detection and response across video streams.
Unlimited custom object classes via transfer learning with annotated samples for domain-specific detection requirements.
Persistent object IDs across frames for trajectory analysis, speed estimation, and dwell-time measurement.
Handles objects from 16x16 pixels to full-frame size using feature pyramid networks for consistent detection accuracy.
Configurable thresholds per class for precision/recall tuning, allowing operators to balance sensitivity and false-positive rates.
Processes recorded footage at accelerated speeds for forensic analysis, evidence review, and historical data extraction.
Triggers alerts when specific object types enter, exit, or dwell in defined zones for automated security and operational monitoring.
Real-world applications for Object Detection.
Monitors stock levels on shelves and in warehouses, detecting misplaced items, overflow conditions, and low-stock situations in real time.
Identifies unauthorized objects like unattended bags, restricted-area vehicles, and prohibited items with immediate alert escalation.
Classifies vehicles by type, tracks speeds, detects incidents at intersections, and measures traffic flow for urban planning.
Tracks shopping carts, product interactions, and shelf engagement for conversion analysis and loss prevention automation.
Detects equipment, tools, and materials on factory floors for process compliance verification and safety zone enforcement.
Performance and deployment details.
Add Object Detection to your video pipeline in minutes.
Assign the model to specific cameras with zone definitions and sensitivity settings through the web UI or API.
The model processes video frames in real time, generating structured detection events with bounding boxes and metadata.
Receive instant alerts via webhooks, trigger automated workflows, or query detections through the REST API.
See how Object Detection is applied across different sectors.
Explore other computer vision capabilities.
Talk to our team to see this model in action on your video feeds.