Keeps Your Workflow

Keep scanners and RFID; up to 20 operators recognised on-device

Runs Locally When Offline

Speech recognition, the LLM and the warehouse system can all run inside the facility; work continues when offline

Ready to Deploy

Runs in about 30 minutes out of the box, open source to modify

Scenario details

SenseCAP Watcher takes stock transactions by voice through its microphone and recognizes and verifies people through its camera; the whole stack can run on site with no internet.

Voice Stock Entry

Pain Points & Challenges

Forklift operators and warehouse pickers have hands full with bulky crates; logging entries forces them to drop goods, unholster scanners, and key in SKUs, breaking productivity and inviting typos.

Edge AI Solution

Mount voice-enabled smart terminals by racking bays, detecting wake words locally to parse spoken SKU quantities and bin locations, reading back confirmations over audio to enable completely hands-free workflows.


Core Advantages

  • Inbound Entry: Spoken SKU quantities automatically log to inventory receipts
  • Outbound Picking: Voice confirmation logs shipping orders and deducts stocks
  • Voice Query: Forklift operators check bin quantities hands-free

Receiving

"Stock in 5 Watchers" writes the receipt and reads back the new total.

Picking & Shipping

"Ship 3 units to ABC Company" creates the outbound record for that customer.

Stock Lookup by Voice

Ask "How many items on shelf A3?" and the Watcher answers by voice while the forklift driver stays seated.

Voice-Controlled Warehouse Management

Ready to deploy
$npx -y @seeed-studio/solution-cli deploy smart_warehouse
View full design & BOM →

Face ID & Greeting

Pain Points & Challenges

Conventional RFID badge access in high-value stockrooms suffers card borrowing and buddy-punching, while cloud facial scanners fail under internet outages and fall prey to printed photo spoof attacks.

Edge AI Solution

Mount edge AI cameras equipped with depth sensing and local NPUs at storage gates, performing binocular liveness checks and facial matching on-premise within 200 ms to grant entry even during total offline conditions.


Core Advantages

  • Proactive Greeting: Radar sensing triggers personalized spoken greetings on approach
  • On-Device Auth: Local NPU matches face features in milliseconds without network
  • Anti-Spoofing: Binocular IR liveness checks defeat photo and video replay attacks

Proactive Greeting

When the camera detects someone approaching, the Watcher greets them by voice.

On-Device Face ID

The Himax WE2 runs face recognition on the Watcher, with up to 20 face templates.

Liveness Detection

Beyond 20 people, face recognition runs gateway-side on a Hailo-8 or Jetson, with liveness detection.

Voice-Controlled Warehouse Management

Ready to deploy
$npx -y @seeed-studio/solution-cli deploy smart_warehouse
View full design & BOM →

Runs Fully Offline

Pain Points & Challenges

Logistics hubs and bonded warehouses frequently suffer fiber cuts or lightning storms; relying on cloud SaaS WMS and cloud LLMs halts physical logistics operations instantly when the connection drops, exposing proprietary trade volumes to the cloud.

Edge AI Solution

Host offline speech recognition, quantized on-premise SLMs, and local warehouse management systems entirely inside industrial edge workstations, guaranteeing 100% autonomous offline uptime with zero data egress.


Core Advantages

  • Edge Inference: Speech recognition, LLM, and TTS run locally on Jetson
  • Data Privacy: Warehouse inventory logs and audio streams never leave the LAN
  • Offline Uptime: Stock entries and lookups proceed seamlessly during network cuts

Local Speech & LLM

Speech recognition, the LLM and speech synthesis all run on a local Jetson.

Data Stays on the LAN

Inventory data and audio stay on the local network.

Keeps Working Offline

Voice stock entry and lookups continue when the internet is down.

Voice-Controlled Warehouse Management

Ready to deploy
$npx -y @seeed-studio/solution-cli deploy smart_warehouse
View full design & BOM →

Deployment & Selection

Answer three questions (warehouse system, data requirements, warehouse scale) and the configurator recommends a tier. System Architecture, Local Server & HMI, and AI Server are below.

Not sure which to choose? See the full selection guide →

Inventory System

How do you manage inventory?

Configure Your Solution

Choose based on your warehouse needs to generate a recommended configuration

  • Package 0 Cloud Edition

    No local host; AI services run on the Seeed cloud with the built-in warehouse system. Face recognition is not supported.

    硬件/物料名称数量型号/SKU说明
    Watcher1113991275-
  • Package 1 Basic Edition

    Inventory data stays on an R1100 host (4 GB RAM or more), with ERP / WMS integration. Voice runs on the SenseCraft cloud; face recognition runs on the Watcher, up to 20 operators.

    硬件/物料名称数量型号/SKU说明
    Watcher1113991275-
    reComputer R1100 Series1113991334-
  • Pkg 2A Upgrade (Single Site)

    An industrial R21 host with Hailo-8 runs the warehouse system and high-accuracy face recognition with liveness detection; voice runs on the SenseCraft cloud. The host can be swapped for a reComputer J40.

    硬件/物料名称数量型号/SKU说明
    Watcher1113991275-
    reComputer Industrial R21 Series1100061305-
  • Pkg 2B Upgrade (Multi-Site)

    One J40 (Orin NX 16GB) runs the warehouse system, face recognition and the local speech service, shared by up to 3 Watchers; only LLM calls leave the network. Order one Watcher per work point.

    硬件/物料名称数量型号/SKU说明
    Watcher1113991275-
    reComputer J40 Series1110110145-
  • Pkg 3 Premium

    An industrial R21 host (Hailo-8) runs the warehouse system, face recognition and the voice AI service; a J50 runs the local LLM and speech synthesis. No internet needed after deployment.

    硬件/物料名称数量型号/SKU说明
    Watcher1113991275-
    reComputer Industrial R21 Series1100061305-
    reComputer J50 Series1100076722-

System Architecture

Voice HMI connected to edge WMS gateways

Smart warehouse management connects AI capabilities and warehouse systems through voice interaction terminals, letting on-site staff complete inventory lookups, stock-in/out registration, and stocktaking through natural language, with results synced to the enterprise's existing business processes.


Core Advantages

  • Voice Interface: Operators speak naturally to log receipts, picks, and queries
  • System Reuse: Standard REST and MCP APIs connect directly to legacy ERP and WMS
  • Tiered Deploy: Flexible choices from cloud SaaS to edge hosts or full offline
ImageDeviceTierNotes
WatcherWatcherHMI front-endVoice and vision interaction front-end; required by all deployments
reComputer R1100 SeriesreComputer R1100 SeriesEntry host (R1000 class)Tier 1: face recognition for up to 20 operators (on the Watcher)
reComputer Industrial R21 SeriesreComputer Industrial R21 SeriesIndustrial host (R2000 class)Tiers 2A / 3: more than 20 operators or liveness detection (Hailo-8)

Local Server

Edge host running on-site WMS management

The Watcher acts as the voice-and-vision interaction front-end, handling stocktaking, quantity reporting, and command entry right on the warehouse floor; a local server (reComputer) runs the warehouse management system with data kept on-premises. For up to 20 operators, face recognition runs on the Watcher and an R1000-class host is enough; for more than 20 operators or liveness detection, choose the industrial R2000 (Hailo-8). For 2–3 work points, a single J40 handles it; see the AI Server card.

ImageDeviceTierNotes
reComputer J40 SeriesreComputer J40 SeriesMulti-site (Tier 2B)Orin NX 16GB; warehouse system + face recognition + local speech, up to 3 Watchers
reComputer J50 SeriesreComputer J50 SeriesOffline (Tier 3)Local LLM and speech synthesis, paired with an industrial R2000

AI Server

Edge AI hosts running offline speech models

Add a Jetson host when speech or the LLM must run locally. For 2–3 work points, one J40 (Orin NX 16GB) runs the warehouse system, face recognition and the local speech service for up to 3 Watchers, with LLM calls over the internet (Tier 2B). To keep all data on-site, a J50 runs the local LLM EdgeLLM (Qwen3.5-4B) and OpenVoiceStream speech synthesis on the premises, alongside an industrial R2000 (Tier 3).

Frequently Asked Questions

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