Absolute Precision.
Zero Defect Escape.|
Plug-and-play industrial AI vision systems for quality control. We fully automate your assembly to eliminate human error and catch defects instantly, without slowing down production or requiring new machinery.
Turnkey Vision. Zero Factory Disruption.
Fast setup using standard, off-the-shelf equipment. Add smart inspection to your active lines to catch defects instantly, without ever slowing down your production.
Data Collection
We gather optical sample data from your active production line to build a dataset for your use case.
AI Training
Our team trains computer vision networks tailored to your defect types.
Install the Hardware
We mount industrial cameras and AI edge computers directly alongside your active machines with minimal physical footprint.
Spot the Defects
Our custom AI inspects every single part in real-time as it passes by. It catches the defects trained on earlier.
Trigger the Action
When a bad part is spotted, it instantly sends a standard signal to the machinery to kick the defective part off the line automatically.
Active Learning
Our system continuously learns from new inspection data. New defect variations and edge cases are automatically captured to retrain models, ensuring your accuracy improves over time.
Target Applications
Metal Parts Inspection
Plastic Molding Inspection
Become a Partner
Test Our System in Your Factory: We are looking for manufacturing facilities to partner with Tarko.
Hardware & Software Specifications
Tarko runs natively on hardware interfaces with existing automation architecture.
| Parameter | Specification Details | Standards / Support |
|---|---|---|
| Camera Interfaces | GigE Vision over standard IP networks | PoE (Power over Ethernet) |
| Networking & Infrastructure | Gigabit Ethernet LAN, Managed/Unmanaged Switching | Standard TCP/IP, Factory IT integration |
| Defect Accuracy | Dimensional measurement ±0.05 pixels, crack resolution to 10µm | Supports ISO 9001 QMS Compliance |
| AI Core Latency | 4.2ms to 12.5ms inference speed depending on image scale | NVIDIA TensorRT Optimized |
| Automation Handoff | Programmable Digital I/O (24V) and standard network payloads | Modbus TCP / EtherNet/IP / PROFINET compatible |
About
Mihir Sharma
DirectorAn Electrical and Computer Engineering graduate from the University of Washington, Seattle, Mihir specializes in industrial AI and computer vision. Driven by a background in embedded edge hardware and machine learning, he founded Tarko to automate quality control in manufacturing and bring absolute precision to production.
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TARKO
Absolute Precision
Reach out to schedule a feasability assessment. We respond within 24 hours.
Directly book a 30-minute call with Tarko to discuss your needs.
Book Discovery CallAutomated Visual Inspection Applications
TARKO builds machine vision inspection systems for manufacturers who need to catch defects that manual inspection misses. Below are the applications available today, each using cameras and locally running AI software to check parts as they move through production.
Metal Parts Crack & Surface Inspection
Surface defect detection for machined and forged automotive metal parts: cracks, pits and surface flaws caught before the part leaves the line.
Read more →Plastic Molding Shape & Dimensional Inspection
In-line quality inspection for injection moulded parts, checking shape and dimensions against a reference as each part exits the mould.
Read more →Die Cast Component Inspection
Surface defect detection for aluminium and zinc die cast parts, including EV battery housings and busbar castings.
Read more →Short Shot & Flash Detection
In-line quality inspection for incomplete fills and excess flash on moulded plastic parts.
Read more →PPE Compliance Monitoring
Automated visual inspection for safety compliance: detecting required protective equipment in defined factory zones.
Read more →Sheet Metal Inspection
Surface defect detection for stamped and formed sheet metal components.
Read more →How It Fits Into an Existing Line
Automated visual inspection does not require replacing your production line. Cameras are installed at the point where parts are already produced or handled, alongside your existing machinery, with no new equipment needed to run the process itself.
The inspection software runs locally on edge hardware at the inspection point. This machine vision inspection system does not depend on a cloud connection to make a pass or fail decision, so it keeps working even if the plant network goes down.
When a defect is found, the system sends a signal to your existing automation over the plant's industrial ethernet network, using the same protocols your line already runs on. Your own integrator handles the programmable logic controller (PLC) side of that connection; TARKO does not write PLC logic or reconfigure your automation directly.
This is what makes automated visual inspection practical to add to a running line: it observes and signals, without becoming a dependency your line cannot function without. Camera placement, lighting and the exact integration point are worked out per part during a feasibility review, not assumed in advance.
Frequently Asked Questions
Does automated visual inspection require stopping my production line to install?
No. Cameras are installed alongside your existing line during a scheduled changeover or planned downtime, similar to any other equipment addition. The goal is zero disruption to your ongoing production schedule.
What kinds of defects can a machine vision inspection system catch?
Anything visible in an image: surface defects like cracks and pits, shape and dimensional deviations, missing features, and fill defects on moulded parts. Defects with no visual signature, like an internal void, need a different inspection method.
How does the system connect to my existing automation?
Over industrial ethernet, using the same protocols your plant automation already runs on. Your integrator handles the PLC-side programming; TARKO's system sends a standard signal when a defect is found.
Does inspection run in the cloud?
No. Inference runs locally on edge hardware at the inspection point, so the pass or fail decision does not depend on an internet connection.
How do I find out if this fits my line?
Request a free feasibility audit. TARKO reviews your part, defect types and current process, then tells you plainly whether automated visual inspection is a fit.