AI Inspection · Food & Beverage
AI Dress-Bird Grading — Poultry Processing
A poultry processor grades every dressed bird on the shackle line against a documented quality standard — Grade A, B, C or reject — covering torn skin, scratch skin, haematoma and bruising, broken parts (patah), ammonia burn and other defect classes. PacketDCS is running a proof of concept on this line: AI vision grading every bird as it moves, at line speed, with per-bird evidence — measured against the graders it is meant to support.
Proof of concept in progress
Challenge
The problem on the line
Manual grading at thousands of birds per hour is exhausting and inconsistent: the difference between a Grade A and a Grade B bird is a subtle bruise or skin tear on a wet, reflective carcass moving on a shackle. Graders drift between shifts, downgrade reasons go unrecorded, and there is no image evidence behind any grading decision.
Solution
- Cameras over the shackle line capture every bird in motion
- AI model trained on the customer's own grading standard — 7 defect classes across Grade A / B / C / reject
- Per-bird grade with the downgrade reason attached as image evidence
- Grade mix, downgrade Pareto and line throughput streamed to the PacketDCS command centre
What the pilot puts on the line
- Line cameras with controlled lighting over the shackle conveyor
- PacketDCS Edge AI appliance on premises
- Grading model built from the customer's dress-bird quality standard
- Per-bird grade, downgrade reason and image evidence
- Grade mix and downgrade Pareto in the command centre
Target outcomes
Everybird graded consistently
4grades — A / B / C / reject
Per-birdimage evidence
Related
Related case studies
Delivered project
Cold-Chain Temperature IoT — FMCG Factory
An FMCG manufacturer needed continuous temperature visibility across storage and production to protect product and satisfy food-safety requirements.
Read the case study
Delivered project
Hand-Washing Compliance Detection — Food Factory
In a food factory, PacketDCS AI vision monitors hand-washing compliance, confirming the procedure is followed and flagging misses.
Read the case study
Delivered project
PPE Detection — Ice-Cream Factory
PacketDCS AI vision checks PPE compliance on an ice-cream production line using the plant's existing cameras.
Read the case study