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Officers are trained to give notice of the camera’s operation as soon as reasonably possible. The timing of this notice may vary depending on the context and safety of the encounter. To signal its activation, the camera will emit three audible sounds, and flash red.

Officers are trained to be aware of interactions with the public that may be sensitive in nature, such as when children are present, during a sexual assault or domestic violence investigation. Additionally, a video management team is responsible for the removal/redaction of privileged, sensitive or clearly irrelevant content prior to the disclosure or release of a copy of a BWC recording.

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If you're new to Cloudinary, you may want to take a look at the Developer Kickstart for a hands-on, step-by-step introduction to Programmable Media features.

Cloudinary is a cloud-based service that provides an end-to-end asset management solution including uploads, storage, transformations, optimizations and delivery. Cloudinary offers a very rich set of image transformation and analysis capabilities and allows you to extract the semantic data from uploaded images: photo metadata (Exif & IPTC) including location and camera details, coordinates of automatically detected faces, color histogram and predominant colors. In addition, Cloudinary allows you to assign multiple tags to images for listing and managing your media assets.

The upload API response includes the automatic categorization identified by the Google auto tagging add-on. As can be seen in the response snippet below, various categories were automatically detected in the uploaded photo. The confidence score is a numerical value that represents the confidence level of the detected category, where 1.0 means 100% confidence.

The response of the update API call includes the detected categories, and automatically assigned tags. As you can see in the response snippet below, tags were only added for the scene categories with a confidence score of over 90%.

By setting the categorization parameter to google_tagging when calling Cloudinary's upload or update methods, Google is used to automatically classify the scenes of the uploaded or specified existing image. For example:

Unlike the United States, there are significant privacy implications in Canada governing our ability to release BWC footage to the media and/or public. In the vast majority of incidents, it is expected that recordings will not be released publicly, however, members of the public can access the video by submitting a FOIP request. Members of the public cannot request the data to be deleted; recordings are stored according to the retention policies and if disclosed for court purposes, will be redacted and vetted for any privacy-related concerns or issues.

SPS officers must balance the privacy rights of individuals with the anticipated benefits of using BWC’s for law enforcement purposes. The program and policy is will be evaluated on an ongoing basis to ensure its compliance with the Canadian Charter of Rights and Freedoms, the Criminal Code of Canada and provincial legislation. Recording in a private place is dependent on the lawful authority of an officer’s attendance at the location. Some examples include receiving consent from the owner/occupant, in relation to a search warrant or exigent/extenuating circumstances.

Officers take reasonable steps to balance the privacy rights of individuals with the benefits of using body-worn cameras for law enforcement purposes. Recording under certain circumstances will depend on the lawful authority of the officer’s presence.

Keep in mind that many of the examples on this page use our SDKs. For SDK installation and configuration details, see the relevant SDK guide.

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Recordings are held for a minimum of two years and then securely deleted. Any further retention of evidence for investigations are guided by The Police Act, 1990.

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The element of video has evolved rapidly over the past few years, becoming an integral part of our society. It has also affected policing in the many different ways it is utilized; from home security systems and cell phone recordings to in-car cameras, the use of video is common and can be an important investigative tool. It also provides a new level of accountability and transparency. This has been proven with law enforcement agencies across the globe adopting body-worn cameras (BWC).

The response of the upload API call above returns the detected categories as well as the assigned tags for categories meeting the minimum confidence score of 0.6:

The following code sample uses Cloudinary's update method to apply Google's automatic image tagging and categorization to the puppy uploaded image, and then automatically assign resource tags based on the categories detected with over a 90% confidence level.

During incidents including but not limited to calls for service, including those related to mental health, traffic stops, and contact interviews. Camera’s will be activated upon arriving at an incident and will continue to record until the incident is completed.

Google Cloud enables developers to understand the content of an image by utilizing powerful machine learning models and quickly classify images into thousands of categories. Cloudinary provides an add-on for Google's automatic image tagging capabilities, fully integrated into Cloudinary's image management and transformation pipeline. Google analyzes image data and automatically identifies categories and suggests tags, a process that would take huge amounts of time and resources if performed manually. The analysis also improves over time as new concepts are introduced and accuracy is improved.

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Recordings cannot be edited, altered, or deleted from the camera by a police officer. The video management team has access and permissions to search and view BWC recordings for the purposes of preparing redacted copies for court disclosure purposes and FOIP requests. They are responsible for the removal or redaction of privileged, sensitive or clearly irrelevant content prior to the disclosure or release of a copy of a BWC recording. An unedited version of the recording will be saved and will remain accessible (until retention policies dictate its deletion).

With the Google auto tagging add-on, you can extend Cloudinary's powerful semantic data extraction and image tagging features. When using the Google auto tagging add-on, your images are automatically tagged according to the categories detected in each image.

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You can also use the update method to apply Google auto tagging to already uploaded images, based on their public IDs, and then automatically tag them according to the detected categories. For example, the following image was uploaded to Cloudinary with the 'puppy' public ID.

If the video is disclosed for court purposes or through a FOIP request, the video management team will be responsible for the removal or redaction of privileged, sensitive, or clearly irrelevant content prior to the disclosure of a BWC recording.

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Register for the add-on: make sure you're logged in to your account and then go to the Add-ons page. For more information about add-on registrations, see Registering for add-ons.

You can use the Admin API's resource method to return the details of a resource, including the scene categories that you already extracted using the upload or update methods.

Automatically categorizing your images is a useful way to organize your Cloudinary media assets, and by also providing the auto_tagging parameter to an upload or update call, images are automatically assigned resource tags based on the detected scene categories. The value of the auto_tagging parameter is the minimum confidence score of a detected category that should be automatically used as an assigned resource tag. Assigning these resource tags allows you to list and search images using Cloudinary's API and Web interface. The following code example automatically tags an uploaded image with all detected categories that have a confidence score higher than 0.6.

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“Body-worn cameras can’t replace an officer’s perceptions, but they can be extraordinarily valuable when they confirm the presence of weapons, capture resistance, and verify de-escalation attempts. What’s more, it is expected that the presence of cameras encourages people on both sides of the lens to be the best version of themselves as they interact.”

In March 2022, the Saskatoon Police Service implemented the BWC program, deploying 40 cameras to front-line officers in the Patrol, Traffic, Foot Patrol, Bike and Community Mobilization Units, and Alternative Response Officers. The audio and video recording device will document police and civilian interactions while engaged in enforcement and investigative duties. This includes but is not limited to calls for service, including mental health, traffic stops, and contact interviews. BWC’s are intended to support law enforcement duties and aid in capturing certain incidents. They are not intended for continuous recording. BWC’s are openly displayed to the public and will show an illuminated red LED light notifying the public when the camera is recording.