Automating Infrastructure Inspection with Edge AI:
Edge-based real-time video processing and analytics enable faster, localized decision-making for improved responsiveness and efficiency.
We built an Edge AI platform that analyzes camera footage to automatically detect infrastructure defects in real time, enabling maintenance teams to take timely, data-driven actions and improve asset reliability and safety.
Customer Profile
Built for transport and infrastructure safety teams responsible for maintaining roads, bridges, and tunnels.
Challenge
Detecting damage like cracks, corrosion, or surface wear in large-scale infrastructure is time-consuming and often delayed. The customer needed a way to automate inspections for faster, more accurate maintenance decisions.
Solution
Our Edge AI & Video Analytics platform uses fixed or moving cameras to scan and analyze infrastructure in real time. The system identifies defects automatically, flags anomalies, and supports both routine and emergency maintenance planning.
Results
- Faster identification of critical damage
- Reduced manual inspection effort
- Improved infrastructure safety and reliability
Contact us
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End-to-end engineering, from electronics and firmware to AI, connectivity and software.
- Talk to an engineerNot a sales team. Someone who understands your system.
- NDA-friendlyHappy to sign one before you share the details.
- Reply within one business dayWith a clear next step, not a brochure.
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