Soon, Indian Army will stop intrusions using this technology

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Indian defence will soon use predictive analytics to stop intrusions.

Over the last 6 months, a Delhi-based startup CRON Systems — an Internet of Things-based border security startup has been building technology that will help the Army in predicting intrusions and prevent them.

CRON Systems, co-founded by Tushar Chhabra, Saurav Agarwala, and Tommy Katzenellenbogen— is working at the borders to build the product based on Army’s requirements.

On a call from border area of high terrain with almost no cellular network zone Chhabra explained, “We have found three painpoints that they face daily – There is no communication channel and with lack of infrastructure they cannot install new-age products and most of the time it becomes too complicated for end user that they cannot even use it.”

So, CRON has installed multiple sensors used in the polls which includes Sensor Fusion of Active Infra-Red, Passive Infra Red, Microwave and IR Cameras with Day and Night Capability, thermal cameras for accurate intrusion verification. These polls have a range of 100-200 meters which is capable of recognizing friends or foe movement.

As soon as an intrusion happens or a movement is detected beyond the perimeter/border an alarm is raised, detected by these sensors and an alert is sent to an analytics platform, through an encrypted wireless communication system. Simultaneously, the nearest drone and rover are sent an alert for live surveillance & visual verification.

However, when someone blocks this communication, the object is differentiated if its an animal or a human. Instantly, data is transmitted to each station where the jawan then has to press a button saying either he is in trouble or secure.

“Collecting such data points, the platform is creating descriptive analytics, which probably in the next 5-6 years will help you predict the threat around the perimeter before an attack likely happens. For instance, if he is carrying any weapon, the light radar and thermal technology will detect it. He explains over the last two-three years, through their data points they found that during November, intrusions usually spike up. But also, before an intrusion happens lot of activities take place. “Such data points help in predicting these intrusions.”

Chabbra adds, “We also realized just checking in line will not solve the problem but we need to look at the counterpart’s territory.

All perimeters have different threats so a camp in Kashmir will have altogether a different set of data point from an Indo-Nepal border and even the level of threats are different.

For example in the Indo-Nepal border, a person will always try to move alone so that he isn’t caught whereas in Kashmir territory while doing areas inspection, they will move in larger groups. Proximity to the perimeter is another crucial criteria. In heavy threat areas, proximity will be very less around 10-12 ft and it will be around months before the attack whereas otherwise, it will be 3 days before and around 100-200 metres away.

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