Computer Vision
We build systems that analyze images and video to automate inspections, detect anomalies, and extract visual signals.
Real-Time Defect Detection
Our vision systems inspect every unit on the production line in milliseconds with 99%+ accuracy, catching defects human inspectors miss and eliminating costly recalls.
Object Recognition & Tracking
Identify, classify, and track objects in images and video feeds. Works for inventory counting, security surveillance, and retail shelf monitoring.
Video Analytics Pipeline
Analyze video streams in real time, detecting events, counting people, identifying behaviours, and generating alerts without storing unnecessary footage.
Edge Deployment Support
We deploy vision models directly on edge devices and cameras for low-latency processing without depending on cloud connectivity.
Key Benefits of Computer Vision
Discover the unique advantages of partnering with Digitek Vista for Computer Vision. Our solutions are designed to enhance productivity and deliver measurable results.
- 99.2% defect detection accuracy achieved
- Reduce manual inspection by 90%
- Inspect 100% of production, not just samples
- Eliminate costly product recalls
- Lower quality control costs significantly
- Works 24/7 without fatigue or variation
Frequently Asked Questions
Everything you need to know about our Computer Vision service.
We work with standard industrial cameras, IP cameras, CCTV systems, and edge devices like NVIDIA Jetson. We specify hardware requirements during scoping.
Typically 500–2000 labeled images per class for custom models. We also use transfer learning and data augmentation to reduce requirements.
Yes. We achieve sub-100ms inference latency on modern hardware, enabling real-time pass/fail decisions at production line speeds.
Unknown items are flagged for human review rather than auto-classified. We build confidence thresholds into every deployment.
Yes. We have experience deploying vision systems in manufacturing, warehousing, and food production environments with challenging lighting and dust conditions.
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