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Apply Machine Learning to Increase Safety & Security

Better computer vision for surveillance tasks involving biometrics, facial recognition, crowd counting, & more

Apply Machine Learning to Increase Safety & Security

Machine Learning for Retail, Workplace Safety, Face Recognition, & Crowd Counting

Ensure safety by detecting threats by deploying pipelines to processing video, image, and audio data from your security cameras, as well data from multispectral sensors. From shoplifting to identifying persons of interest - mitigate risks before they escalate

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Car detection & license plate recognition

Rapidly deploy solutions to count the number of cars in a given parking lot or detect the entry of unauthorized vehicles

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Workplace safety

Use deep learning to abandoned luggage in airports, detect weapons, aggressive behavior in the office, or keep workers safe from slip and fall hazards

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Biometrics & facial recognition

Use biometrics such as facial landmarks or voice patterns to ensure security in public and private spaces. Prevent security breaches with deepfake detection models

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Crowd counting & person search

Design computer vision-powered products to find people to find individuals across real-time surveillance camera feeds & count crowds

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Retail & in-store experience

Improve your store layout, understand shopper satisfaction & flow within the store, or build a self-checkout solution

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Sound Detection

Detect baby cries, screams, sirens, breaking glass, or loud bangs. Develop urban sound monitoring solutions for smart cities

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Theft and loss prevention

Train models to prevent theft of valuables, home break-ins or shoplifting, and help catch perpetrators on the spot

Machine Learning Datasets for Face Recognition & Security

Don't have proprietary data? Get a head start by using one of the public machine learning datasets for surveillance. Browse datasets for facial recogntion, sound detection, crowd counting, license plate recognition & car detection

  • ARID Video Action dataset visualization on Activeloop Platform
  • Explore action recognition &
    surveillance datasets ...
  • VisDrone dataset visualization on Activeloop Platform
  • ... detect cars & pedestrians,
    recognize license plates ...
  • Motion Analysis & Re-distinguishing dataset visualization on Activeloop Platform
  • ... or conduct face recognition,
    person search, & count crowds!

Lights, camera, action recognition. Data infrastructure for security camera feeds is no longer a time thief with Activeloop

Computer vision brings scalability to safety & security thanks to surveillance camera data

In the safety & security space, computer vision comes to help in a large variety of initiatives, which typically include real-time processing of large amounts of data from sound or motion detectors, as well as surveillance cameras. The advances in machine learning help prevent theft in stores, improve shoppers' retail experience, detect cars, recognize car license plates or faces, count crowds, or identify individuals via biometrics.

With Activeloop, machine learning teams working on surveillance & safety tasks are able to build scalable data infrastructure to connect their live surveillance feeds to their machine learning models. Moreover, data scientists can collaborate on curating their datasets by visualizing individual slices with our rapid query engine. Finally, materialized data can be streamed while training machine learning models - regardless if data is stored locally or on the cloud.

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