
In-Sight 8900

Ultra-compact, fully embedded AI vision system for machine builders and regulated industries, ready for 21 CFR Part 11 compliance.
In-Sight 8900 is an ultra-compact, fully embedded vision system designed to be built into OEM equipment. AI tools run on the device, and segmentation, classification and OCR are set up with example-based training.
Audit logging and single sign-on with Microsoft Windows credentials help pharmaceutical, medical device and other regulated manufacturers meet electronic record and signature requirements. Rule-based tools such as measurement, pixel count and pattern count are available on the same system.
Key features
- 0.5 / 2 / 5 / 12 MP models, C-mount lens
- Embedded AI: segmentation, classification, OCR
- Audit logging and single sign-on (SSO) for 21 CFR Part 11
- HDR+ supports up to 80% faster line speeds
- PROFINET, EtherNet/IP, SLMP and Modbus TCP
- In-Sight Vision Suite software
Applications
Technical details
- Resolution
- 0.5 / 2 / 5 / 12 MP
- Max. acquisition rate
- 142 fps (0.5 MP)
- Lens
- C-Mount
- Protection rating
- IP40
- Industrial protocols
- PROFINET, EtherNet/IP, SLMP, Modbus TCP
Product information is compiled from the manufacturers' published documents and is for guidance only. Contact us for model selection, current specifications and pricing.
Other series in this group

In-Sight 2800
Compact vision system that combines AI and rule-based tools, trains on a few sample images and can be set up in minutes.

In-Sight 3800
General-purpose smart camera with embedded AI and rule-based tools, in 1.6–16 MP area-scan and 1K–4K line-scan models.

In-Sight 3900
High-performance smart camera with up to 25 MP, a dedicated AI processor and dual Ethernet, inspecting up to 5,000 parts per minute.

In-Sight 6900 Vision Controller
Modular AI vision controller with an NVIDIA Jetson GPU that runs area-scan and line-scan cameras at up to 65 MP resolution.
Let us assess your application together
We test your sample in our laboratory and report on resolution, optics and lighting selection.