%%PW_PROTECTED_BLOCK_103%%

Personnel Hygiene Monitoring in Food Processing Automation

Before entering production areas, food processing personnel must wash their hands and wear the required protective clothing according to plant procedures. As shifts and inspection points increase, checking each worker manually places a greater burden on supervisors. AI-assisted visual monitoring can flag potentially missed steps and prompt workers to correct them on site. Recorded events also help supervisors review issues and follow up.

AI-Assisted Handwashing and Protective Clothing Checks

Cameras capture workers washing their hands and wearing protective clothing for analysis by AI software running on an on-site computing platform. Handwashing checks assess movements and duration against plant standard operating procedures (SOPs). Clothing checks assess whether required items, such as hair coverings and masks, are worn correctly.

WEBS-45J1 for Image Analysis and Multitasking

WEBS-45J1 can be configured to run handwashing and protective clothing checks alongside a monitoring interface and event management software. Its processor and memory options allow resources to be matched to the combined workload.

  • 14th/13th/12th Gen Intel®® Core™ processor options — Choose a CPU configuration based on image processing and monitoring requirements.
  • Up to 96GB DDR5 memory — Provides capacity for concurrent applications and image buffering.
  • 1GbE and 2.5GbE interfaces — Allow camera traffic and event reporting to use separate network connections, helping reduce bandwidth contention.

WEBS-91J0 for Space-Constrained Deployment

WEBS-91J0 is an option for installations near handwashing stations or production entrances where enclosure space is limited. Its compact, fanless design simplifies node placement, with processor and AI acceleration configurations selected for the assigned recognition tasks.

  • Intel®® Processor N-series or Intel Atom® x7000RE series options — Low-power processor choices accommodate different node workloads and environmental requirements.
  • 152 × 112 × 48 mm Design — Wall-mount and DIN-rail options support installation within appropriately protected equipment spaces.
  • Three Gigabit Ethernet ports — Allocate connections for multiple cameras and event reporting, reducing reliance on a single shared network connection.

WEBS-45J1 offers greater flexibility in computing and memory configurations, while WEBS-91J0 suits installations with limited space. For continuous handwashing and protective clothing analysis, both platforms offer optional AI acceleration modules. These modules can handle compatible model inference, leaving CPU resources available for monitoring and event management.

Integration and Validation for Food Plant AI Monitoring

Through its Design and Manufacturing Service (DMS), Portwell can help select computing platforms and AI module configurations, with integration and validation planned around site requirements. Connecting analysis results to existing alert and recordkeeping workflows can reduce manual checks and documentation, helping supervisors review flagged events and track corrective actions.

Product Recommendations

  • Fanless System with Intel®Processor N Series / Intel Atom® x7000RE Series CPU
  • 3 x USB3.2 Gen1, 3x RJ45 1GbE, 1x HDMI® and 1x DP connector
  • 1 x SO-DIMM socket support DDR4 3200MHz up to 32GB
  • 1x M.2 B Key 2242/3042/3052 for storage / 5G module / AI module
  • Support 12~24V Wide-Range DC Input with 3-pin Terminal Block
  • Support 14th/13th/12th Generation Intel®Core™ i3/i5/i7/i9 processors
  • Two SO-DIMM support DDR5 DRAM up to 96GB
  • Support triple DP and one HDMI® display
  • Support One M.2 E Key, One M.2 M Key
  • Support 4x COM ports (2x RS-232/422/485)
  • 2x Antenna holes for WiFi module
  • Optional pre-assembled with Hailo-8 M.2 M Key AI Accelerator Module

Subscribe

Press Releases Subscribe Form