AI-driven diagnostic system validates returned security cameras in under two minutes with 99% accuracy, cutting channel partner costs by 90%
Consider a 100-camera troubleshooting effort that typically demands 100 labor hours — completed in just 3.3 hours or less. That is the power of AI-based diagnostics.”— Richard KuMILPITAS, CA, UNITED STATES, August 18, 2026 /EINPresswire.com/ — Trustify Technology, an AI hardware and software firm focused on device lifecycle automation, announced today the introduction of DeviceDiag AI Platform™. This AI-powered diagnostic station automates the testing and validation of returned security cameras for enterprise integrators, distributors, and reverse logistics teams across North America.
Built specifically for the expanding B2B security and surveillance sector, DeviceDiag AI Platform™ enables organizations to sharply cut the time, labor, and operational expenses tied to traditional return merchandise authorization (RMA) processes.
The North American B2B security and surveillance market is estimated at roughly $26.84 billion in 2025 and continues to grow quickly. Yet despite progress in camera hardware and cloud-based management, the industry’s diagnostic and return workflows remain largely manual, slow, and expensive.
According to industry estimates, the total all-in cost for a single security camera RMA incident can surpass $800 when factoring in onsite labor, administrative processing, device replacement, logistics handling, and system downtime. In many cases, organizations also bear the costs of multiple technician dispatches, delayed resolution, and temporary security gaps.
Making the problem worse, a large share of returned security cameras are classified as “No Fault Found” (NFF) — meaning the device ultimately shows no confirmed hardware defect after inspection. These unnecessary returns lead to wasted labor, excess refurbishment expenses, avoidable inventory replacement, and greater operational inefficiency throughout the supply chain.
“For far too long, the security industry has depended on manual troubleshooting workflows that cause unnecessary delays, labor costs, and downtime,” said Andrew Nguyen, Owner and CEO of Trustify Technology. “A single camera issue should not take weeks of back-and-forth diagnostics or multiple technician visits. DeviceDiag AI Platform™ was designed to modernize that entire process through automation and AI-driven validation.”
DeviceDiag AI Platform™ merges specialized hardware with AI-powered software automation to perform thorough camera diagnostics in one station, with no need for an onsite technician. Using a dedicated Neural Processing Unit (NPU), the system automatically evaluates device health, validates hardware functionality, and produces a verified pass/fail result in under 120 seconds.
The platform runs a full set of automated tests covering:
Video quality and image integrity
Audio performance
Infrared and night vision functionality
Motion and environmental sensor validation
Network connectivity and communication testing
Firmware recognition and device identification
The system supports Wi-Fi, Ethernet, and 4G/5G cellular-communicant environments commonly used in enterprise surveillance deployments.
Unlike conventional manual diagnostics that often require technician interpretation and multiple troubleshooting steps, DeviceDiag AI Platform™ automatically identifies the camera model and firmware configuration with minimal user input. Diagnostic results can be exported as PDF, JSON, or CSV reports for integration into existing warehouse management systems (WMS), enterprise resource planning (ERP) platforms, and operational workflows.
“With DeviceDiag AI Platform™, we are providing enterprise partners with a faster, smarter way to validate surveillance hardware,” Nguyen added. “By leveraging dedicated NPU acceleration and automated testing workflows, organizations can diagnose video, sensor, and network health with speed and consistency that traditional manual processes simply cannot match.”
For organizations managing large fleets of surveillance devices, the operational impact can be significant. DeviceDiag AI Platform™ is engineered to help reduce unnecessary device replacements, minimize onsite diagnostic visits, speed up return processing, and shorten the time needed to restore security coverage.
The platform directly tackles one of the industry’s most persistent inefficiencies: lengthy turnaround times. Traditional RMA resolution cycles often take between one and three weeks, depending on shipping, technician scheduling, and manufacturer review timelines. DeviceDiag AI Platform™ compresses that validation process into minutes, enabling enterprise teams to make faster operational decisions and return functional equipment to service more efficiently.
Richard Ku, VP of Sales and Marketing at Trustify Technology, described the launch as a fundamental shift in the economics of enterprise device troubleshooting.
“The ‘Efficiency Delta’ has arrived. Today, Trustify Technology launches DeviceDiag AI Platform™, and the numbers speak for themselves,” said Ku. “Consider a 100-camera troubleshooting effort that typically demands 100 labor hours — completed in just 3.3 hours or less. That is the power of AI-based diagnostics.”
DeviceDiag AI Platform™ is available now in the United States and Canada, with deployment timelines typically ranging from two to four weeks. Trustify Technology offers solutions for both SMB and enterprise-scale organizations operating across multiple facilities and regions, and provides custom development services, onboarding support, and new camera model integration through its New Product Introduction (NPI) process.
“Our goal is to remove unnecessary friction across the entire device lifecycle,” Nguyen said. “Diagnostic automation is becoming a foundational requirement for enterprise surveillance operations — and we intend to lead that shift.”
DeviceDiag AI Platform™
Trustify Technology
+1 626-437-4874
richard.ku@trustifytechnology.com
