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Slag Pot Crack Detection
Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
Slag pots used in blast furnace operations are prone to crack formation due to extreme temperatures, thermal cycling, and mechanical stresses. Current manual inspection methods are subjective and may miss critical defects. The challenge is to develop an automated, non-contact solution to accurately detect, classify, and report cracks on slag pots in a high-temperature steel plant environment, enabling safer and more reliable operations.
Preventing Elephant Electrocution from Overhead Power Lines
Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
Preventing elephant electrocution by enabling wildlife-safe electrical distribution in forest regions through scalable, infrastructure-based solutions—such as intelligent monitoring, early detection, adaptive insulation, and automated safeguards—designed to operate reliably across remote and challenging environments without direct interaction with wildlife.
Non-Invasive Identification and Verification of Underground Cable Joints Prior to Excavation
Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
We are seeking a non‑invasive, above‑ground solution to identify underground cable joints and accurately distinguish the correct live cable among closely spaced cables, without excavation or offline signal injection, to support safe and efficient excavation planning.
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