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.
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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.
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Construction and industrial sites carry high risk. AI safety platforms can detect PPE non-compliance, restricted zone violations, and hazardous conditions before incidents occur.
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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.
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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.
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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.
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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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