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Computer Vision / IoTRetail & Inventory

ObjectDetection&Tracking

Object detection, segmentation, and tracking system for inventory management — counting stock, monitoring shelves, and automating warehouse visibility.

Client

Private Client

Timeline

Custom build & handoff

Type

Detection & Segmentation System

Delivery

Private

Private delivery — no public URLStart a Similar Project
Case Study

CV

Detection + Seg

Tracking

Multi-object

Private

Delivery

01Overview

An AI-powered vision system that detects and segments objects in camera feeds, tracks them across frames, and surfaces inventory insights — built for private operational use in retail and warehouse environments.

02The Problem & The Fix

The Challenge

Manual inventory checks were slow, error-prone, and couldn't scale across locations. The client needed automated object detection and tracking that could identify products, monitor shelf levels, and flag discrepancies without a public web product.

Our Solution

We built a detection-and-segmentation pipeline with multi-object tracking, custom class training for their inventory SKUs, and analytics outputs for stock visibility — delivered as a private system integrated with their internal workflows.

03Our Approach

Use-case Mapping

Defined detection classes, camera angles, and inventory KPIs for warehouse and shelf monitoring.

Model & Tracking Build

Implemented detection, segmentation masks, and frame-to-frame tracking for consistent object IDs.

Analytics Handoff

Connected vision outputs to inventory reports and alerting logic for the client's ops team.

04What We Delivered

Object DetectionInstance SegmentationMulti-object TrackingInventory Analytics

Key Deliverables

  • Custom-trained detection model
  • Segmentation & tracking pipeline
  • Inventory event analytics module
  • Internal integration documentation
  • Model retraining guide

Features Built

  • Real-time object detection and instance segmentation
  • Multi-object tracking across video frames
  • Inventory count and shelf-level monitoring
  • Configurable alerts for stock anomalies
  • Private deployment for internal operations only

05The Impact

Automated inventory visibility without manual shelf audits

Scalable detection pipeline adaptable to new product classes

Delivered for private ops — no public live site required

Foundation for warehouse and retail analytics expansion

Built withPythonYOLOOpenCVSegmentationTracking

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