The Device

Meet Vidar

The intelligence device for physical spaces.

Purpose-built for high fidelity people detection and counting. Private-by-design. Inference happens at the sensor, so your floor finally has eyes and a memory, and your footage never leaves the room.

Onboard NPU, CPU & RAM

80° FOV + adjustable range

<1 sec latency

A black box with a small camera on the front and a green LED light on top placed on a dark wooden surface, with a potted green leafy plant in the background against a textured grey wall.
A black check mark with a curved arrow pointing downward.
A black upward-curving arrow indicating growth or increase.

Real-time and historical data

Powered, no batteries

Dual band WiFi, WPA2 PSK

How It Works

Three Steps. Footage in, Intelligence out.

1

Illustration of a circuit board with an eye inside, symbolizing technology or artificial intelligence.

High precision AI detection

On processor Convolutional Neural Network does live detection and segmentation to see and understand your customers.

2

Reports

Your numbers are with you in your hand, immediately. Your store’s footage never leaves Vidar, just the numbers do.

3

Cloud computing illustration with data charts and arrows

Intelligence

Structured insights and intelligence flows from your Vidar to your phone. Not just raw data or messy charts, actual intelligent insights. 

The Numbers

Daily decisions, unique movement insights and actionable recommendations. You don’t just see another dashboard.

Insights that actually matter.

FLOOR SPACE

Bring your floor space to life. Understand how customers and employees move through your floor and how they interact.

Floor plan with blue heatmap overlay showing activity or interest hotspots in various rooms, including a conference room, lounge, kitchen, and dining area.

HISTORICAL

Daily Access historical data and trends across months and years to gauge what changed and what needs to change.

An animated bar chart with monthly trends.

UTILISATION

Find the leaks and inefficiencies in how your space is being utilised and optimise for results. No more wasted shelf space or empty tables.

An animated progress bar with underuse and used spaces.

OPERATIONAL

Daily decisions becomes easier when you know what happens all day.

An animated bar chart showing trends across a single day.

CONTEXTUAL

Slow days now have a number and a reason.

An animated calendar showing day wise occupancy.

AI Insights + Decisions

Insights that actually matter.

Daily decisions, unique movement insights and actionable recommendations packaged with all the data. It is not just another dashboard and you don’t have to read the data alone.

Footfall

Saturday brought 487 visitors with your main floor hitting congestion at 6pm. Park Street's evening crowd builds later than most retail strips , so your real peak window runs 5pm–8pm. It could be worth keeping one extra staff member on the floor until closing rather than winding down at 7pm.

Location Context Applied: Park Street - Evening

Demographic

Holiday visitors were 57% adult with a near-even gender split — the family-unit profile that CP draws on public holidays tends to make considered, larger purchases together. It could be worth making sure your floor layout lets two people browse a larger item side by side without feeling crowded on busy days like this.

Demographic

Saturday hit full seating by 10am — your morning session defines the day here, and Indiranagar's walkable character means the crowd builds faster than most Bangalore café strips. It could be worth getting all counter staff in by 9:30 am and pre-stocking takeaway packaging the night before so the queue keeps moving at your busiest window. This aligns with the trends over the last 6 months.

Seating

Seating area averaged 48-minute dwell versus 22 minutes at the counter — most of Saturday's crowd came to sit, not grab-and-go. It's worth experimenting with your outdoor A-frame to mention seating availability; the sit-and-stay crowd is already walking past and just needs a nudge.

Sections

Fitting rooms were active but not congested — 19-minute average dwell with visitors flowing through steadily. It's worth tracking whether fitting room visits are converting; if dwell is high but purchase rate feels low, a small mirror near the exit with accessories could help.

Staffing

3 staff covered 18 hours on a day where 40% of all traffic came for a 90 minute lunch window. This is a recurring pattern. You might want to overlap two shifts around 12:30 pm on weekdays so you are not running lean during the only real peak of the day.

Demographic

62% of Saturday's visitors were female, with young adults and adults together making up over 85% of footfall — a very concentrated buyer profile for an evening crowd on Park Street. You might want to ensure your new arrivals are front-facing and well-lit by 5pm, when this audience tends to arrive.

Holidays

Republic Day pushed Sunday to 538 visitors — 31% above a typical Sunday, consistent with CP's role as a planned-visit destination on public holidays when families combine the Rajpath events with an outing nearby. You might not want to consider additional offers for public holidays .

Location Context Applied: Connought Place- Weekend

Festival Context Applied: Republic Day Holiday

Contextual

12pm–3pm dropped below 10 visitors per hour even on a Saturday — on weekends the Indiranagar crowd tends to move to full-service restaurants for lunch rather than cafés. You might want to try a filter coffee at a slightly softer price point from 11:45am to catch the between-meals browser before your 4pm crowd builds.

Location Context: Indiranagar - weekend

Purpose Built

Everything your store sees, in one place

Setup, footfall patterns, demographic insights - the whole picture, designed to be read in the ten seconds you have between customers.