Techling implements an AI-driven warehouse and yard monitoring system for logistics operations, providing accurate cargo counts, automated quality checks, and continuous safety assurance. Edge cameras and GPU inference detect parcels, packaging issues, and unsafe behaviors, while dashboards and analytics track performance. Data is stored on-site and optionally in cloud lakehouses, integrated with WMS/TMS systems for operational efficiency.
The process of counting parcels and pallets manually is time-consuming, prone to errors and has inconsistencies, which cause reconciliation problem with manifests and delays in operations. With no automated tracking through dock doors and conveyors, logistics operations will be exposed to mis-shipments and inventory disparities.
Inspection of damaged packaging, mislabels, or seal problems manually is a slowing of throughput. A human check can not be dependable enough to detect all the quality flaws, which puts at risk returns, customer dissatisfaction and extra labor fees to re-check.
There are unsafe practices like inappropriate stacking, absence of PPE, and violation of forklift proximity that usually go unnoticed. Monitoring manually will not guarantee 24/7 safety monitoring which results in accidents, non-compliance with regulations, and even operational setbacks.
The logistics operators do not have real-time dashboards on cargo throughput, exceptions or safety incidents. They are not able to respond to anomalies, streamline processes, or guarantee that they meet SLA requirements quickly without timely visibility, which decreases the efficiency of operations.
Scalable edge-cloud solutions are required in the distributed warehouse and yard operations. Interruptions in the network, varying site structures, and the necessity of the use of a graphics card are significant challenges to ensuring continuous monitoring, synchronization, and deployment consistency on CI/CD.
The AI vision group identifies and follows parcels and pallets that move through areas like dock doors and conveyors. The system balances counts with the manifests automatically, thus inventory tracking is done accurately without any manual involvement.
The computer vision identifies packaging damages, mis-labels, seal/tape, and activates side-shoots or manual lanes. Automated QA minimize the errors, the quality of the shipments is consistent and it is linked with the operational processes to take corrective measures.
The system identifies unsafe practices including incorrect stacking, lack of PPE in restricted areas and the forklift close. Automatically generated incident reports can assist with compliance, minimizing accidents, and enhancing the overall safety of warehouses.
Video is supplied to local gateways (or cloud-linked Outposts/Stack) by edge cameras. Edge inference makes use of counting, QA and safety checks with offline buffering. Cloud integration consolidates information to dashboards, analytics and cross-site monitoring.
Topics in dashboards include throughput counters, exceptions queues, safety leaderboards and SLA widgets. Connections to WMS/TMS systems and ticketing systems such as ServiceNow /Jira allow automated flows, monitoring of incidents, and insights to act on logistics management.
| Layer / Component | Technology / Tools | Purpose |
|---|---|---|
| Edge Cameras & Gateway | On-prem cameras, k3s on industrial PCs | Capture video; edge inference and buffering for offline resilience. |
| GPU Inference | NVIDIA GPUs, Python, PyTorch, TensorFlow | Perform cargo counting, quality checks, and safety detection in real time. |
| Streaming / Messaging | Kafka | Stream video events and metadata per site with buffering for outages. |
| Object Storage | MinIO / AWS S3 / Azure Blob | Store media (images, clips) and QA snapshots with lifecycle policies. |
| Structured Data Store | PostgreSQL | Store events, manifests, incident reports, and tracking data. |
| Analytics / Lakehouse | Databricks / Synapse (optional) | Perform aggregated analytics, trend analysis, and operational insights. |
| Dashboards & Visualization | Grafana / PowerBI | Show throughput, QA metrics, safety leaderboards, and SLA compliance. |
| Integrations | REST APIs, Webhooks | Connect to WMS/TMS, incident tickets to ServiceNow/Jira. |
At Techling, we specialize in elevating efficiency and
achieving cost savings in the mobility and healthcare
industries through our custom Al and ML software
solutions. We are committed to delivering exceptional results with a 100% satisfaction guarantee and a promise of ontime delivery. Partner with us to leverage the power of Al and ML, and take your business to
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