Problems we solve
AI at the Edge, built for Automotive, Media, and Industrial transformation.
Security & Surveillance
Security and surveillance teams often struggle to achieve clear CCTV footage at
night, particularly in motel parking lots, gas stations, and outdoor parking areas,
where cameras produce dark, blurry, and grainy video. Percep Edge delivers AI-
powered low-light enhancement (LLE) combined with denoising, dehazing, and IR
optimization to improve night-time visibility. It enables dangerous object detection,
reduces false alarms during night surveillance, and enhances CCTV footage for
investigations and evidence. By adapting to glare, fog, headlights, and uneven
lighting, Percep Edge ensures reliable, always-on surveillance in real-world
environments.
Smart Factory
Factory surveillance systems often break down in low-light, dusty, or fog-prone
industrial settings, resulting in noisy footage, missed safety risks, and frequent false
alarms. Percep Edge improves industrial CCTV using AI-based low-light
enhancement, denoising, dehazing, and IR-aware processing, increasing visibility
across shop floors and perimeters. With dangerous object detection and anomaly
detection, it strengthens factory safety monitoring while reducing manual control-
room fatigue. The result is automated, consistent, and cost-effective surveillance
across factory sites.
XAIRA
Smart Factory
Factory surveillance systems often break down in low-light, dusty, or fog-prone
industrial settings, resulting in noisy footage, missed safety risks, and frequent false
alarms. Percep Edge improves industrial CCTV using AI-based low-light
enhancement, denoising, dehazing, and IR-aware processing, increasing visibility
across shop floors and perimeters. With dangerous object detection and anomaly
detection, it strengthens factory safety monitoring while reducing manual control-
room fatigue. The result is automated, consistent, and cost-effective surveillance
across factory sites.
Predict AI
Smart Factory
Manufacturers often search for how to predict machine failure before it happens,
predictive maintenance for manufacturing machines, and how to prevent unplanned
downtime in factories. Predict AI addresses these challenges by correlating vibration,
temperature, current, pressure, and acoustics through multi-sensor machine
monitoring and integrated machine health intelligence. Using AI-driven anomaly
detection, it identifies unknown failure modes, early machine degradation, and
breakdown patterns that rule-based thresholds miss. Running as edge AI for
predictive maintenance, Predict AI enables low-latency, cloud-independent failure
prediction, reducing manual condition monitoring costs, expert dependency, and
improving machine health trend analysis and remaining useful life (RUL) prediction.
Blogs and Case studies
See our AI in action: Read stories, studies, and deep dives from the field.
Read MoreInspect AI
Smart Factory (Primary Fit)
Manufacturing quality teams frequently look for how to automate visual inspection,
why manual inspection slows production, and AI-based quality inspection systems
that scale. Inspect AI replaces fragmented processes with automated visual
inspection that provides visual proof for quality audits, digital inspection records, and
end-to-end traceability. Powered by explainable AI vision, it enables root-cause
analysis for manufacturing defects, defect history analytics, and insight across
batches, shifts, and machines. Inspect AI maintains accuracy despite glare,
shadows, and lighting changes, while detecting unknown, anomalous, and evolving
defects beyond rule-based vision systems, enabling faster containment and
response.