Equipment features: 1.AI algorithm: high stability, adapting to the environment and
background disturbance; different defect samples can be
automatically identified after training | 2.Dataization: Independent database, save multiple samples, analyze
non-good products, and retain history | 3.Multi-orientation: 360 ° comprehensive inside and outside the
samples | 4.High precision: detection accuracy can be high | 5.Modularization, can flexibly increase or decrease the detection
function according to customer actual needs | 6.Easy to operate: It is easy to operate and easy to maintain | 7.Safety: Medical grade material manufacturing, fully compliant
with medical supplies production environment |
Detection Principle
The reagent tube appearance defect detection equipment transfers
the reagent tube to a specific detection station in a stable and
orderly manner through the docking of the front-end automation
mechanism (which can be directly connected to conveying lines,
waterfall capping machines, centrifugal turntables and other
organize mechanisms, and the specific implementation method is to
be determined according to the production site), and then transmits
the captured high-pixel sample image to the image processing
software through an industrial camera, the AI artificial
intelligence algorithm will detect and determine the good and bad
products, and control the corresponding pneumatic components to
remove the bad products, and finally outputs the qualified
products. The back-end conveyor platform of the testing machine can
be connected to the automatic packaging mechanism. Product Advantages
- On-line high-speed detection, improve detection efficiency and
accuracy, and reduce labor costs.
- Accurate identification of high-pixel industrial cameras, the
number of cameras is designed on demand, the accuracy is 0.1mm, and
the speed is 300 pieces/min (can be customized according to
detection requirements).
- Compatible with detecting products of multiple
specifications, saving costs.
- Detect and remove defects such as black spots, chromatic
aberration, impurities, gaps, residual material, overlap, air
bubbles, voids, deformation, uneven thickness, size and other
defects on the syringe barrel.
Product Configuration
Equipment parameters Name | Reagent tube appearance defect detection equipment | Model | KVIS-SC02 | Software algorithm | Deep learning | Voltage | AC220/50HZ | Voltage | 200w | Air pressure | Mpa | Transfer method | Lossless delivery | Detection status | Online real-time detection | Detection method | High-speed industrial camera | Number of camera | 1 |
- AI algorithm: high stability, can adapt to the disturbance of the
environment and background; after training, it can automatically
identify different defect samples.
- Dataization: independent database, save a variety of samples,
analyze defective products, and keep historical records.
- Multi-directional: 360° all-round inspection without dead angle on
the outside of the kit, bottle mouth, etc.
- Visualization: Real-time display of sample images, running status,
real-time statistical detection results and defective product
defect classification information.
- High precision: The detection accuracy rate can reach 99.5%.
- Modular: can flexibly increase or decrease the detection function
according to the actual needs of customers.
- Easy to operate: The equipment is easy to operate and easy to
maintain.
- Safety: Made of medical-grade materials, it fully conforms to the
production environment of medical supplies.
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