Before activating the camera, the user needs to understand what will happen and which documents they should have ready. If the process is launched without a clear visual explanation of the steps or an estimated time, the user feels uncertain and abandons preemptively, as they do not feel prepared to complete the task at that moment.<\/p>\n
<\/p>\n
![\"LET'S](\"https:\/\/hubspot-no-cache-eu1-prod.s3.amazonaws.com\/cta\/default\/19918211\/interactive-216849676497.png\")
<\/p>\n
Abandonment Before Starting (Permissions and Browsers)<\/h3>\n\n- Permission Blocks:<\/strong> Many users deny camera access out of mistrust or by mistake. If the system cannot re-request permission with a clear, accessible explanation, the user is left<\/strong> staring at a black screen and leaves.<\/li>\n
- WebView and Incompatibility:<\/strong> If a user opens your process from a social media browser (like Instagram or WhatsApp) or an outdated mobile browser, the camera often fails to activate.<\/li>\n<\/ul>\n
<\/p>\n
The ID Capture Process (Front and Back)<\/h3>\n\n- \n
\n- Lack of active framing guidance:<\/strong> If the user doesn’t have a clear visual reference for the distance or position of their ID, they will make multiple failed attempts. Software that does not assist with correct framing causes the user to abandon after several unsuccessful manual captures.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
![\"\"](\"https:\/\/veridas.com\/wp-content\/uploads\/2026\/03\/mostrar_dni.gif\")
<\/p>\n
<\/p>\n
\n- \n
\n- Glare management:<\/strong> Reflections on document plastic are a constant challenge. If the system cannot correctly process the document despite typical glare, or if it allows the submission of captures where critical data is unreadable, rejection will occur during the validation phase, frustrating the user.<\/li>\n
- Automated recognition speed:<\/strong> Response time is key. If the capture system takes too long to automatically recognize and extract data from the document, the user loses interest or decides to “do it later,” which usually leads to a permanent loss of the customer.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
![\"\"](\"https:\/\/veridas.com\/wp-content\/uploads\/2026\/03\/camara_trasera.gif\")
<\/p>\n
<\/p>\n
Biometrics (Selfie and Liveness)<\/h3>\n\n- \n
\n- Complex Backgrounds:<\/strong> If the user takes a selfie with people behind them or a busy background, and the technology cannot isolate the face, it triggers an error.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
\n- \n
\n- Complex Liveness Motions:<\/strong> Asking users for unintuitive gestures\u2014like repeated blinking, specific head tilts, or following moving dots\u2014is a leading cause of abandonment. If the system fails to detect these “unfamiliar” movements on the first try, the user perceives it as an insurmountable technical barrier.<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
![\"\"](\"https:\/\/veridas.com\/wp-content\/uploads\/2026\/03\/SAP_def.gif\")
<\/p>\n
<\/p>\n
2. The Validation Funnel: The Back-Office Black Box<\/h2>\n
<\/p>\n
The ID Capture Process (Front and Back)<\/h3>\n\n- \n
\n- Lack of active framing guidance:<\/strong> If the user doesn’t have a clear visual reference for the distance or position of their ID, they will make multiple failed attempts. Software that does not assist with correct framing causes the user to abandon after several unsuccessful manual captures.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
<\/p>\n
<\/p>\n
\n- \n
\n- Glare management:<\/strong> Reflections on document plastic are a constant challenge. If the system cannot correctly process the document despite typical glare, or if it allows the submission of captures where critical data is unreadable, rejection will occur during the validation phase, frustrating the user.<\/li>\n
- Automated recognition speed:<\/strong> Response time is key. If the capture system takes too long to automatically recognize and extract data from the document, the user loses interest or decides to “do it later,” which usually leads to a permanent loss of the customer.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
<\/p>\n
<\/p>\n
Biometrics (Selfie and Liveness)<\/h3>\n\n- \n
\n- Complex Backgrounds:<\/strong> If the user takes a selfie with people behind them or a busy background, and the technology cannot isolate the face, it triggers an error.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
\n- \n
\n- Complex Liveness Motions:<\/strong> Asking users for unintuitive gestures\u2014like repeated blinking, specific head tilts, or following moving dots\u2014is a leading cause of abandonment. If the system fails to detect these “unfamiliar” movements on the first try, the user perceives it as an insurmountable technical barrier.<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
<\/p>\n
<\/p>\n
2. The Validation Funnel: The Back-Office Black Box<\/h2>\n
- \n
- Lack of active framing guidance:<\/strong> If the user doesn’t have a clear visual reference for the distance or position of their ID, they will make multiple failed attempts. Software that does not assist with correct framing causes the user to abandon after several unsuccessful manual captures.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
<\/p>\n<\/p>\n
- \n
- \n
- \n
- Glare management:<\/strong> Reflections on document plastic are a constant challenge. If the system cannot correctly process the document despite typical glare, or if it allows the submission of captures where critical data is unreadable, rejection will occur during the validation phase, frustrating the user.<\/li>\n
- Automated recognition speed:<\/strong> Response time is key. If the capture system takes too long to automatically recognize and extract data from the document, the user loses interest or decides to “do it later,” which usually leads to a permanent loss of the customer.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
<\/p>\n<\/p>\n
Biometrics (Selfie and Liveness)<\/h3>\n
- \n
- \n
- \n
- Complex Backgrounds:<\/strong> If the user takes a selfie with people behind them or a busy background, and the technology cannot isolate the face, it triggers an error.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
- \n
- \n
- \n
- Complex Liveness Motions:<\/strong> Asking users for unintuitive gestures\u2014like repeated blinking, specific head tilts, or following moving dots\u2014is a leading cause of abandonment. If the system fails to detect these “unfamiliar” movements on the first try, the user perceives it as an insurmountable technical barrier.<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
<\/p>\n
<\/p>\n<\/p>\n
2. The Validation Funnel: The Back-Office Black Box<\/h2>\n
- Complex Liveness Motions:<\/strong> Asking users for unintuitive gestures\u2014like repeated blinking, specific head tilts, or following moving dots\u2014is a leading cause of abandonment. If the system fails to detect these “unfamiliar” movements on the first try, the user perceives it as an insurmountable technical barrier.<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
- \n
- Complex Backgrounds:<\/strong> If the user takes a selfie with people behind them or a busy background, and the technology cannot isolate the face, it triggers an error.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
- Automated recognition speed:<\/strong> Response time is key. If the capture system takes too long to automatically recognize and extract data from the document, the user loses interest or decides to “do it later,” which usually leads to a permanent loss of the customer.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
- Glare management:<\/strong> Reflections on document plastic are a constant challenge. If the system cannot correctly process the document despite typical glare, or if it allows the submission of captures where critical data is unreadable, rejection will occur during the validation phase, frustrating the user.<\/li>\n
- \n
![\"Identity](\"https:\/\/hubspot-no-cache-eu1-prod.s3.amazonaws.com\/cta\/default\/19918211\/738ebc34-409c-4fed-9b0c-66822668714d.png\")
<\/a><\/span>