Blog posts and real-world case studies on AI, IoT, safety, agriculture, and autonomous systems from the Intelense team.
Modern retailers lose billions each year to shrinkage. AI-powered video analytics can detect unusual behaviour, unauthorized zone entry, and theft patterns in real time — without adding headcount.
How AI Video Analytics Is Transforming Retail Loss Prevention →
Latency, bandwidth cost, data privacy — the right compute architecture depends on your use case. We break down when to process at the edge versus sending data to the cloud.
Edge AI vs Cloud: Which Architecture for Your IoT Deployment? →
Construction and industrial sites carry high risk. AI safety platforms can detect PPE non-compliance, restricted zone violations, and hazardous conditions before incidents occur.
Real-Time Safety Monitoring: Reducing Workplace Accidents with AI →
From crop health monitoring via drone imagery to AI-driven irrigation scheduling, precision agriculture platforms are helping farms increase yield while reducing water and chemical inputs.
Precision Agriculture 2026: How AI Is Changing Farming →
Traditional motion sensors trigger constant false alarms. AI home platforms understand context — distinguishing a family pet from an intruder, or detecting a fall for elder care monitoring.
Smart Home Security Beyond Motion Detection: AI-Powered Analysis →
Warehouse automation is accelerating. This guide covers navigation methods, safety co-existence with human workers, ROI benchmarks, and what to evaluate before deploying autonomous mobile robots.
Autonomous Robots in Warehouses: A Complete Guide →
How KenVision helped a major retail chain cut shrinkage by 73% and improve operational efficiency using their existing camera infrastructure.
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How KenSafety transformed existing camera infrastructure into a real-time safety monitoring system — cutting PPE violations by 68% and hazard response time by 4×.
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How KenHome transformed home monitoring into a proactive AI-driven safety system — reducing false alarms by 91% across 50,000+ households.
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How KenAgri turned farm cameras and sensors into a real-time precision agriculture system — improving yield by 31% while cutting water usage by 40%.
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