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People & vehicle counting Smart city sensing Retail technology Leading provider of AI software to analyse traffic for real-time data. [email protected]

UK
Joined January 2014
Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)Photo by Retail Sensing (@RetailSensing)
UK Councils must prove they are doing more to fix potholes in roads under tough new government reporting requirements Strangely some councils still aren't using AI software & dashcams to detect potholes, thus reducing costs, saving time & logging proof gov.uk/government/news/how-w…
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Footfall counting isn’t just for retail - it’s transforming efficiency on mega-construction sites. Track: - Whereabouts workers are on the site in real time - How long they are spending there
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50 years of engineering 🤝 Cutting-edge AI. At Retail Sensing, we deliver precision people & vehicle counting solutions that scale globally. 🌍 40 Countries 📊 15,000+ Systems installed 🛡️ 100% GDPR Compliant Data you can trust. Engineering you can lean on. #AI #Footfall
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Whether you have CCTV, dashboard cameras, RTSP IP cameras, ONVIF or mixed camera brands, well-trained AI can use them to count things. People, vehicles, widgets, pallets, protective gear, potholes, animals - if it moves (or the camera moves) we can count it. #CameraAI
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For years, dedicated top-down people counters have been a staple for accurate entry counts helping retailers and venues better understand footfall, occupancy & customer behaviour. Now, better accuracy is achieved using well-trained AI models & existing CCTV #CameraAI #AISensing
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Cameras & onboard AI scan road & surface conditions as vehicles move over them during the day, spotting & measuring defects automatically, logging location & severity, feeding it all into a live map so repairs get prioritised before someone's suspension pays the price #potholes
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Do more expensive cameras mean more accurate counting? In a word. No. It’s one of the most common misconceptions in computer vision. Cameras aren't the limiting factor, it's how well trained is the AI algorithm. Existing CCTV networks all highly accurate counting #ComputerVision
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AI passenger counting means identifying passengers - myth or reality? Myth. AI can provide much more information than simply "how many people are on the bus?" without needing to identify the people being counted. #PassengerCounting #ComputerVision #PublicTransport #CameraAI
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Early in the morning, the bin-lorry driver starts his truck and sets off on the round. Simultaneously, a map of the town's streets and roads starts to update. Ask us about the Terragrid system, where bin lorries become road survey vehicles. #Terragrid #Potholes #CameraAI
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AI software that turns ordinary cameras into intelligent sensors. Whatever you want to detect, as long as it moves (or the camera moves past it), we can log it. People, passengers, vehicles, bicycles, potholes, animals... whatever you need to sense, count & track - just ask
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ANPR (Automatic Number Plate Recognition) cameras are widely used across retail parks to monitor visitor vehicle numbers. In ideal conditions they perform well. But real-world conditions are rarely ideal. AI software with non-ANPR cameras (eg just normal CCTV) solves the problem
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Why does excluding staff from footfall counts matter? Here is how filtering out staff metrics transforms results in higher profits and more satisfied customers - retailsensing.com/definition…
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Retailers have a data gap: footfall and sales show what’s happening, but not why. Behavioural insights like dwell time, heatmapping and path tracking reveal where shoppers get stuck, what they ignore, and why they leave. Fewer guesses. Better decisions. More sales.
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The longer they stay, the more they buy. Research shows that a 1% increase in dwell time drives a 1.3% increase in sales. Ask us how to turn insights into profits #dwelltime #retail #retailanalytics #retailsensing
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AI vehicle traffic counting turns advertising hoardings into data acquisition devices It’s no longer just about "how many people might see this." It’s about knowing exactly how many vehicles drive past, when they pass and what kind of vehicles they were 🚘🚛🚌 #OOHAdvertising
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At Retail Sensing, we don’t believe in rigid, off-the-shelf products. Instead, we teach our AI systems to adapt to your specific goals. For passenger counting, retail and beyond, trigger counts to suit your requirements #RetailSensing #peoplecounting #AI
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In the UK hospitality industry, 1.1 million tonnes of food is thrown away each year, roughly 18% of what’s purchased, costing: around £3.2 billion/year & 4 million tonnes of greenhouse gas emissions. AI people counting technology offers a practical way to reduce that waste
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Which vehicle counting and classification system to choose? From century-old rubber tubes to cutting-edge AI, a survey of the sensor technologies used monitor traffic. #VehicleCounting #VehicleClassification #ComputerVision #MachineLearning #SmartCity #IntelligentTransportation
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Optimise every square meter: how retail analytics drives in-store growth Just as e-commerce websites meticulously track every customer step — from the landing page to checkout — physical stores can, and must, do the same. Understand customer behaviour and watch profits surge
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