Campus Ideaz

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 RAKSHA KAVACH

                                                                                       RAKSHA KAVACH
it is a cctv but built with Artificial intelligence .
normal cctv just records ,but this ai build one is something different,it works in real time.
for example: this Raksha kavach(ai powered cctv) is near any shopping complex or any ATM
if a person enters with weapons or something unusual happens it detects and sends alert to near police station ,control room(ps) and owner of the respective shopping mall.
ex:2
it also usefull in traffic management like detecting signal jumping,seat belt etc
it takes a picture of number plate and directly send to the owner of the vechile to pay fine and police station for the proof
AND if accident is happen it will detect and sends the ambulance and the record will be send to traffic police department AND if any thief is escaping in any vehicle it shows where he is and how many signals did he passes in certain time.
ex:3
It is mainly useful in public places
Raksha kavach detects weapons,crowd panic etc things
it sounds like siren , red colour warning lights and immediate alert in near police station.
ya it can be used in different sector like school , it industries , universities
in universities we can use this for multiple purposes.
CONCLUSION:
AI powered CCTV it is about protecting in real time , ai cctv acts as a digital guardian that can detects threats,instant alert with sounds and warning lights ,and preventing crimes before it happen
in todays world , where safety is basic need and it is a security challenge.
                                                                                 AI CCTV isnt just an eye--its a shield.

Votes: 16
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Comments

  • “If Raksha Kavach fails to differentiate between real threats and harmless objects, it could cause false alerts.”
    “Hackers exploiting the system could manipulate alerts or disable surveillance, making it a security risk.”
    • every technology has risks, but Raksha Kavach is built with advanced AI training and regular updates to minimize false alerts. Strong cybersecurity measures ensure it resists hacking, making it far more reliable than traditional CCTV.
  • Your idea for Raksha Kavach is strong and clearly highlights how AI can transform CCTV from passive recording to active protection. The real-time detection and automated alerts make it practical for public safety, though you may need to address privacy concerns and system reliability. With clear focus on scalability and integration with authorities, it could become a powerful security solution.
    • Thanks for the valuable feedback, I’ll definitely work on addressing privacy and reliability to make Raksha Kavach a truly scalable and trusted security solution.
  • Raksha Kavach is a smart idea, real-time alerts and AI detection can really improve public safety and crime prevention.
  • Raksha Kavach is a powerful idea, as it shifts CCTV from being a passive recorder to an active, AI-driven protector that can detect threats and trigger real-time responses. To make it stronger, you could highlight how it ensures accuracy and privacy—for example, reducing false alarms and protecting personal data—since these will be key for trust and adoption in sensitive public and private spaces.
  • I really like the idea as it It captures the product’s unique real-time and proactive approach over regular CCTV, reflecting current industry trends and key benefits of AI-enabled cameras
  • "Raksha Kavach is more than a CCTV – it’s a real-time digital guardian that detects danger, alerts instantly, and saves lives before harm happens."
    "This AI-powered shield transforms security from passive monitoring to proactive protection for a safer tomorrow."
  • Raksha Kavach is a powerful step towards smart safety, offering real-time protection with instant alerts and threat detection. It truly acts as a digital guardian for both public and private spaces.
  • This is a clear and impactful idea that shows how AI can transform CCTV from passive recording to active prevention. To make it stronger, you could briefly mention how it minimizes false alarms and ensures quick, accurate responses—building trust in its reliability.
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