Food plants operate under two regimes at once: occupational safety and hygiene requirements. Cameras are usually already installed on production floors because quality control needs them, and the same image source can watch over people.
Typical risks in this sector
Missing required clothing and head covers
An apron, hairnet, gloves and mask are simultaneously a hygiene requirement and personal protection. A manual check at the entrance captures the moment of entry, not what happens afterwards.
Packaging machine working zones
Packaging and forming machines have moving parts exactly where people reach in to clear jams. This is one of the most common causes of hand injuries in the sector.
Forklift traffic in cold stores and loading areas
Limited visibility, wet floors and narrow aisles near loading bays increase the risk of forklift-pedestrian collisions.
Slips and falls
Wet and greasy floors are characteristic of the industry, and a fall in a room where one person works is often noticed with considerable delay.
What the system detects
- missing apron, hairnet, gloves or mask in high-hygiene areas
- a person entering the working zone of a packaging or forming machine
- a pedestrian approaching a forklift in the loading area
- a fall or absence of movement for a defined period
- presence in a cold store outside permitted hours
What the link with quality control adds
Cameras originally installed for quality control usually cover production lines and packing areas, which are exactly where injuries occur. Adding safety analytics requires no new infrastructure.
Events from both areas can be compared: a rise in line stoppages often coincides with a rise in entries into machine zones, because people clear jams by hand.
Limitations specific to the sector
Steam during washdown and around thermal zones is easily mistaken for smoke, and reflective floors complicate detection. Both are identified during tuning and accounted for in the rules.
Workwear here is uniform and light-coloured, which helps presence detection but hinders telling roles apart. Rules are therefore based on zones rather than on recognising a worker's function.
Solutions used here
- SafeView Spot - AI camera detection of safety hazards and fire
- SafeView Motion - forklift safety with AI
- SafeView Analytics - video analytics and reports from AI cameras
- See descriptions of completed deployments
Frequently asked questions
Does the system work in a cold store?
Yes, with cameras rated for low temperatures. The analysis itself runs on a device outside the chilled area.
Does image analysis conflict with HACCP requirements?
No. Clothing hygiene checks can even support documentation, provided the scope and purpose of processing are agreed with the person responsible for data protection.
Must a camera be added above every machine?
No. You start with the highest-risk workstations identified in the plant's incident register and extend the scope after a pilot.