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Object Detection

Identify and localize 80+ object categories in every frame with real-time precision. Visylix Object Detection brings general-purpose visual understanding to your camera network, with the flexibility to add custom classes tailored to your domain.

About Object Detection

Visylix Object Detection is built on a highly optimized single-stage detector that classifies and localizes objects from the 80-class COCO taxonomy, including people, vehicles, animals, furniture, electronics, and more. The architecture balances speed and accuracy by employing a feature pyramid network with multi-scale anchor-free heads, delivering reliable detections from small distant objects to large foreground subjects. Organizations can extend the base model with custom-trained classes specific to their domain, such as forklifts, shopping carts, or medical equipment, using Visylix's transfer-learning pipeline. Temporal tracking assigns persistent IDs to detected objects across frames, enabling trajectory analysis, dwell-time measurement, and event-triggered automation.

Key Features

Engineered for accuracy, speed, and seamless integration into enterprise workflows.

80+ Object Classes

Out-of-the-box detection for the full COCO taxonomy covering people, vehicles, animals, everyday objects, food items, and more.

Real-Time Inference

Sub-20 ms inference per frame on modern GPUs allows live overlay of bounding boxes, labels, and confidence scores at full video rate.

Custom Class Support

Extend the detector with domain-specific classes through Visylix transfer-learning tools. Provide annotated samples and receive a production-ready model.

Bounding Box Tracking

Assign persistent IDs to each detected object across frames, enabling trajectory, speed, and dwell-time analytics.

Multi-Scale Detection

Feature pyramid architecture detects objects ranging from a few pixels to full-frame size, handling both distant and close-range subjects.

Confidence Filtering

Configurable confidence thresholds per class let you tune precision and recall to match the operational requirements of each deployment.

Real-World Use Cases

Deployed across industries to deliver measurable value from day one.

Inventory Management

Monitor shelves, pallets, and storage areas in real time. Detect missing stock, misplaced items, and overflow conditions to keep inventory accurate without manual counts.

Security & Intrusion

Detect unauthorized objects such as unattended bags, vehicles in restricted areas, or tools left in hazardous zones. Trigger contextual alerts with object type and location.

Traffic Monitoring

Classify and count vehicles by type, track speeds, and detect incidents like stopped vehicles or wrong-way driving at intersections and highway segments.

Smart Retail

Track shopping carts, baskets, and product interactions on the sales floor. Feed detection data into conversion funnels and planogram compliance checks.

Technical Specifications

Base Classes80 (COCO taxonomy)
Inference Speed< 20 ms per frame (GPU)
mAP (COCO val)52.3% @ IoU 0.5:0.95
Min Object Size16 x 16 px
Custom ClassesUnlimited via transfer learning
Tracking MethodDeepSORT / ByteTrack
Input Resolution480p to 4K
Supported ProtocolsRTSP, RTMP, HTTP-FLV, WebRTC
HardwareNVIDIA T4 / L4 / A100 / Jetson
DeploymentOn-premise, edge, or cloud

Ready to Get Started?

Discover how Visylix AI models can transform your video infrastructure into an intelligent, automated system.