Pixuate
Factory & Industrial Analytics

Object Recognition (Box, Pallet)

Recognises and tracks boxes, pallets, and packaged goods in warehouse and logistics environments. Counts objects as they pass through a camera zone, detects misplaced or incorrectly stacked items, and supports inventory and dispatch workflows with real-time object data.

Key Features

Discover the powerful capabilities that make Object Recognition (Box, Pallet) stand out

Detects and counts boxes and pallets in camera view

Tracks object movement through defined zones

Misplacement detection — flags objects outside designated areas

Stacking and arrangement compliance checking

Integration with WMS and logistics management systems

Real-time count and location data for inventory workflows

Evidence image per detection event

Edge deployment for warehouse and dock operations

Technical Specifications

Detailed technical information about Object Recognition (Box, Pallet)

Camera:2MP+ IP CCTV (RTSP), overhead or aisle view
Deployment:Edge device or on-premises server
Output:Object type, count, zone ID, timestamp, image crop

Prerequisites & Limitations

What Object Recognition (Box, Pallet) needs to run reliably, and the operating limits to plan for.

Prerequisites

  • Camera: 2MP+ IP/RTSP overlooking the area where boxes or pallets are handled or counted
  • Adequate illumination — pair with an IR illuminator for low-light warehouse areas
  • Stable bandwidth between camera and edge/server — roughly 4–8 Mbps per 2MP H.264/H.265 stream
  • Mounting for a clear view of the objects with minimal occlusion or overlap
  • Stable power and network at the deployment point

Operating Limits

Factor Edge Server
Incident / event capture rate≤ ~5 events per second≤ ~20 events per second
Concurrent camera streams per node1–4 streams (Jetson TX2 / Orin)8–16+ streams
Minimum object size in frame≥ ~40 px≥ ~40 px
Event-to-alert latency< ~1 s on-deviceDepends on network round-trip

Indicative figures — actual limits depend on hardware, scene, and configuration.

Related Knowledge Base

Learn about the hardware and infrastructure components used in a Object Recognition (Box, Pallet) deployment.

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